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From RSSI to CSI: Indoor localization via channel response

Published:27 December 2013Publication History
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Abstract

The spatial features of emitted wireless signals are the basis of location distinction and determination for wireless indoor localization. Available in mainstream wireless signal measurements, the Received Signal Strength Indicator (RSSI) has been adopted in vast indoor localization systems. However, it suffers from dramatic performance degradation in complex situations due to multipath fading and temporal dynamics.

Break-through techniques resort to finer-grained wireless channel measurement than RSSI. Different from RSSI, the PHY layer power feature, channel response, is able to discriminate multipath characteristics, and thus holds the potential for the convergence of accurate and pervasive indoor localization. Channel State Information (CSI, reflecting channel response in 802.11 a/g/n) has attracted many research efforts and some pioneer works have demonstrated submeter or even centimeter-level accuracy. In this article, we survey this new trend of channel response in localization. The differences between CSI and RSSI are highlighted with respect to network layering, time resolution, frequency resolution, stability, and accessibility. Furthermore, we investigate a large body of recent works and classify them overall into three categories according to how to use CSI. For each category, we emphasize the basic principles and address future directions of research in this new and largely open area.

References

  1. Azizyan, M., Constandache, I., and Roy Choudhury, R. 2009. SurroundSense: Mobile phone localization via ambience fingerprinting. In Proceedings of ACM International Conference on Mobile Computing and Networking (MobiCom'09). Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Bahillo, A., Mazuelas, S., Lorenzo, R. M., Fernández, P., Prieto, J., Durán, R. J., and Abril, E. J. 2010. Accurate and Integrated Localization System for Indoor Environments based on IEEE 802.11 Round-trip Time Measurements. EURASIP J. Wireless Commun. Networking 2010, 6, 6:1--6:13. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Bahl, P. and Padmanabhan, V. 2000. RADAR: an In-building RF-based user location and tracking system. In Proceedings of IEEE International Conference on Computer Communications (INFOCOM'00).Google ScholarGoogle Scholar
  4. Bargh, M. S. and de Groote, R. 2008. Indoor localization based on response rate of Bluetooth inquiries. In Proceedings of ACM International Workshop on Mobile Entity Localization and Tracking in GPS-less Environments (MELT'08). Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Bhartia, A., Chen, Y.-C., Rallapalli, S., and Qiu, L. 2011. Harnessing frequency diversity in Wi-Fi networks. In Proceedings of ACM International Conference on Mobile Computing and Networking (MobiCom'11). Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Chai, E., Lee, J., Lee, S.-J., Etkin, R., and Shin, K. G. 2012. Building efficient spectrum-agile devices for dummies. In Proceedings of ACM International Conference on Mobile Computing and Networking (MobiCom'12). Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Chang, C. and Sahai, A. 2004. Object tracking in a 2D UWB sensor network. In Proceedings of Asilomar Conference on Signals, Systems and Computers (Asilomar'04).Google ScholarGoogle Scholar
  8. Chang, H.-L., Tian, J.-B., Lai, T.-T., Chu, H.-H., and Huang, P. 2008. Spinning beacons for precise indoor localization. In Proceedings of ACM Conference on Embedded Networked Sensor Systems (SenSys'08). Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Chen, X., Edelstein, A., Li, Y., Coates, M., Rabbat, M., and Men, A. 2011. Sequential Monte Carlo for simultaneous passive device-free tracking and sensor localization using received signal strength measurements. In Proceedings of ACM International Conference on Information Processing in Sensor Networks (IPSN'11).Google ScholarGoogle Scholar
  10. Chen, Y., Lymberopoulos, D., Liu, J., and Priyantha, B. 2012. FM-based indoor localization. In Proceedings of ACM International Conference on Mobile Systems, Applications, and Services (MobiSys'12). Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Chen, Y., Yang, Q., Yin, J., and Chai, X. 2006. Power-efficient access-point selection for indoor location estimation. IEEE Trans. Knowl. Data Eng. 18, 7, 877--888. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Cidronali, A., Maddio, S., Giorgetti, G., and Manes, G. 2010. Analysis and Performance of a Smart Antenna for 2.45-GHz Single-Anchor Indoor Positioning. IEEE Transactions on Microwave Theory and Techniques 58, 1, 21--31.Google ScholarGoogle ScholarCross RefCross Ref
  13. Cong, L. and Zhuang, W. 2005. Nonline-of-Sight Error Mitigation in Mobile Location. IEEE Trans. Wireless Commun. 4, 2, 560--573. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Constandache, I., Bao, X., Azizyan, M., and Choudhury, R. R. 2010. Did you see Bob?: Human localization using mobile phones. In Proceedings of ACM International Conference on Mobile Computing and Networking (MobiCom'10). Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Dumont, L., Fattouche, M., and Morrison, G. 1994. Super-resolution of multipath channels in a spread spectrum location system. IEEE Electron. Lett. 30, 19, 1583--1584.Google ScholarGoogle ScholarCross RefCross Ref
  16. Elnahrawy, E., Li, X., and Martin, R. 2004. The limits of localization using signal strength: A comparative study. In Proceedings of IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks (SECON'04).Google ScholarGoogle Scholar
  17. Fang, S.-H. and Lin, T.-N. 2010. A dynamic system approach for radio location fingerprinting in wireless local area networks. IEEE Trans. Commun. 58, 4, 1020--1025. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. Fang, S.-H. and Lin, T.-N. 2012. Principal component localization in indoor WLAN environments. IEEE Trans. Mobile Comput. 11, 1, 100--110. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. Fessler, J. and Hero, A. 1994. Space-alternating generalized expectation-maximization algorithm. IEEE Trans. Signal Process. 42, 10, 2664--2677. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. Fontana, R. 2004. Recent system applications of short-pulse ultra-wideband (UWB) technology. IEEE Trans. Microwave Theory Tech. 52, 9, 2087--2104.Google ScholarGoogle ScholarCross RefCross Ref
  21. Geiger, D. 2010. High resolution time difference of arrival using timestamps for localization in 802.11b/g wireless networks. In Proceedings of IEEE Wireless Communications and Networking Conference (WCNC'10).Google ScholarGoogle ScholarCross RefCross Ref
  22. Gezici, S., Tian, Z., Giannakis, G., Kobayashi, H., Molisch, A., Poor, H., and Sahinoglu, Z. 2005. Localization via ultra-wideband radios: A look at positioning aspects for future sensor networks. IEEE Signal Process. Mag.e 22, 4, 70--84.Google ScholarGoogle ScholarCross RefCross Ref
  23. Giustiniano, D. and Mangold, S. 2011. CAESAR: Carrier sense-based ranging in off-the-shelf 802.11 wireless LAN. In Proceedings of ACM Conference on Emerging Networking EXperiments and Technologies (CoNEXT'11). Google ScholarGoogle ScholarDigital LibraryDigital Library
  24. Golden, S. A. and Bateman, S. S. 2007. Sensor measurements for Wi-Fi location with emphasis on time-of-arrival ranging. IEEE Trans. Mobile Comput. 6, 10, 1185--1198. Google ScholarGoogle ScholarDigital LibraryDigital Library
  25. Goldsmith, A. 2005. Wireless Communications. Cambridge University Press, New York, NY, USA. Google ScholarGoogle ScholarDigital LibraryDigital Library
  26. Guvenc, I. and Chong, C.-C. 2009. A Survey on TOA Based Wireless localization and NLOS mitigation techniques. IEEE Commun. Surv. Tutorials 11, 3, 107--124. Google ScholarGoogle ScholarDigital LibraryDigital Library
  27. Halperin, D., Hu, W., Sheth, A., and Wetherall, D. 2010. Predictable 802.11 packet delivery from wireless channel measurements. In Proceedings of ACM SIGCOMM Conference (SIGCOMM'10). Google ScholarGoogle ScholarDigital LibraryDigital Library
  28. Harter, A., Hopper, A., Steggles, P., Ward, A., and Webster, P. 1999. The anatomy of a context-aware application. In Proceedings of ACM International Conference on Mobile Computing and Networking (MobiCom'99). Google ScholarGoogle ScholarDigital LibraryDigital Library
  29. Jana, S., Premnath, S. N., Clark, M., Kasera, S. K., Patwari, N., and Krishnamurthy, S. V. 2009. On the effectiveness of secret key extraction from wireless signal strength in real environments. In Proceedings of ACM International Conference on Mobile Computing and Networking (MobiCom'09). Google ScholarGoogle ScholarDigital LibraryDigital Library
  30. Jiang, Z., Zhao, J., Li, X.-Y., Han, J., and Xi, W. 2013. Rejecting the Attack: Source Authentication for WiFi Management Frames using CSI Information. In Proceedings of IEEE International Conference on Computer Communications (INFOCOM).Google ScholarGoogle Scholar
  31. Jin, Y., Soh, W.-S., and Wong, W.-C. 2010. Indoor localization with channel impulse response based fingerprint and nonparametric regression. IEEE Trans. Wireless Commun. 9, 3, 1120--1127. Google ScholarGoogle ScholarDigital LibraryDigital Library
  32. Joshi, K., Hong, S., and Katti, S. 2013. PinPoint: Localizing Interfering Radios. In Proceedings of USENIX Symposium on Networked Systems Design and Implementation (NSDI). Google ScholarGoogle ScholarDigital LibraryDigital Library
  33. Kleisouris, K., Firner, B., Howard, R., Zhang, Y., and Martin, R. P. 2010. Detecting Intra-room Mobility with Signal Strength Descriptors. In Proceedings of ACM International Symposium on Mobile ad hoc Networking and Computing (MobiHoc). Google ScholarGoogle ScholarDigital LibraryDigital Library
  34. Kosba, A., Saeed, A., and Youssef, M. 2012. RASID: A Robust WLAN Device-free Passive Motion Detection System. In Proceedings of IEEE International Conference on Pervasive Computing and Communications (PerCom'12).Google ScholarGoogle Scholar
  35. Li, X. and Pahlavan, K. 2004. Super-Resolution TOA Estimation with Diversity for Indoor Geolocation. IEEE Trans. Wireless Commun. 3, 1, 224--234. Google ScholarGoogle ScholarDigital LibraryDigital Library
  36. Lim, H., Kung, L.-C., Hou, J. C., and Luo, H. 2006. Zero-Configuration, Robust Indoor Localization: Theory and Experimentation. In Proceedings of IEEE International Conference on Computer Communications (INFOCOM).Google ScholarGoogle Scholar
  37. Liu, H., Gan, Y., Yang, J., Sidhom, S., Wang, Y., Chen, Y., and Ye, F. 2012a. Push the Limit of WiFi based Localization for Smartphones. In Proceedings of ACM International Conference on Mobile Computing and Networking (MobiCom'06). Google ScholarGoogle ScholarDigital LibraryDigital Library
  38. Liu, H., Yang, J., Wang, Y., and Chen, Y. 2012b. Collaborative Secret Key Extraction Leveraging Received Signal Strength in Mobile Wireless Networks. In Proceedings of IEEE International Conference on Computer Communications (INFOCOM'12).Google ScholarGoogle Scholar
  39. Liu, Y. and Yang, Z. 2011. Location, Localization, and Localizability: Location-awareness Technology for Wireless Networks. Springer New York.Google ScholarGoogle Scholar
  40. Mathur, S., Trappe, W., Mandayam, N., Ye, C., and Reznik, A. 2008. Radio-telepathy: Extracting a Secret Key from an Unauthenticated Wireless Channel. In Proceedings of ACM International Conference on Mobile Computing and Networking (MobiCom). Google ScholarGoogle ScholarDigital LibraryDigital Library
  41. Mazuelas, S., Lago, F., Blas, J., Bahillo, A., Fernandez, P., Lorenzo, R., and Abril, E. 2009. Prior NLOS measurement correction for positioning in cellular wireless networks. IEEE Trans. Vehicular Technol. 58, 5, 2585--2591.Google ScholarGoogle ScholarCross RefCross Ref
  42. Meguerdichian, S., Koushanfar, F., Potkonjak, M., and Srivastava, M. 2001. Coverage problems in wireless ad-hoc sensor networks. In Proceedings of IEEE International Conference on Computer Communications (INFOCOM'01).Google ScholarGoogle Scholar
  43. Moussa, M. and Youssef, M. 2009. Smart devices for smart environments: Device-free passive detection in real environments. In Proceedings of IEEE International Conference on Pervasive Computing and Communications (PerCom'09). Google ScholarGoogle ScholarDigital LibraryDigital Library
  44. Nandakumar, R., Chintalapudi, K. K., and Padmanabhan, V. N. 2012. Centaur: Locating Devices in an Office Environment. In Proceedings of ACM International Conference on Mobile Computing and Networking (MobiCom'12). Google ScholarGoogle ScholarDigital LibraryDigital Library
  45. Nerguizian, C., Despins, C., and Affes, S. 2006. Geolocation in mines with an impulse response fingerprinting technique and neural networks. IEEE Trans. Wireless Commun. 5, 3, 603--611. Google ScholarGoogle ScholarDigital LibraryDigital Library
  46. Nerguizian, C. and Nerguizian, V. 2007. Indoor fingerprinting geolocation using wavelet-based Features Extracted from the Channel impulse response in conjunction with an artificial neural network. In Proceedings of IEEE International Symposium on Industrial Electronics (ISIE'07).Google ScholarGoogle Scholar
  47. Ni, L. M., Liu, Y., Lau, Y. C., and Patil, A. P. 2004. LANDMARC: Indoor location sensing using active RFID. Wireless Networks 10, 6, 701--710. Google ScholarGoogle ScholarDigital LibraryDigital Library
  48. Niculescu, D. and Nath, B. 2004. VOR base stations for indoor 802.11 positioning. In Proceedings of ACM International Conference on Mobile Computing and Networking (MobiCom'04). Google ScholarGoogle ScholarDigital LibraryDigital Library
  49. Oktem, T. M. and Slock, D. T. M. 2010. Power delay Doppler profile fingerprinting for mobile localization in NLOS. In Proceedings of IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC'10).Google ScholarGoogle Scholar
  50. Otsason, V., Varshavsky, A., LaMarca, A., and de Lara, E. 2005. Accurate GSM indoor localization. In Proceedings of ACM International Conference on Ubiquitous Computing (UbiComp'05). Google ScholarGoogle ScholarDigital LibraryDigital Library
  51. Patwari, N. and Kasera, S. K. 2007. Robust location distinction using Temporal link signatures. In Proceedings of ACM International Conference on Mobile Computing and Networking (MobiCom'07). Google ScholarGoogle ScholarDigital LibraryDigital Library
  52. Patwari, N. and Wilson, J. 2010. RF sensor networks for device-free localization: Measurements, models, and algorithms. Proceedings of the IEEE 98, 11, 1961--1973.Google ScholarGoogle ScholarCross RefCross Ref
  53. Patwari, N. and Wilson, J. 2011. Spatial models for human motion-induced signal strength variance on static links. IEEE Trans. Inf. Forensics Security 6, 3, 791--802. Google ScholarGoogle ScholarCross RefCross Ref
  54. Peng, C., Shen, G., Zhang, Y., Li, Y., and Tan, K. 2007. BeepBeep: A high accuracy acoustic ranging system using COTS mobile devices. In Proceedings of ACM International Conference on Embedded Networked Sensor Systems (SenSys'07). Google ScholarGoogle ScholarDigital LibraryDigital Library
  55. Pongthawornkamol, T., Ahmed, S., Nahrstedt, K., and Uchiyama, A. 2010. Zero-knowledge real-time indoor tracking via outdoor wireless directional antennas. In Proceedings of IEEE International Conference on Pervasive Computing and Communications (PerCom'10).Google ScholarGoogle Scholar
  56. Pozar, D. 1997. Microwave Engineering 2nd Ed. Wiley.Google ScholarGoogle Scholar
  57. Priyantha, N. B., Chakraborty, A., and Balakrishnan, H. 2000. The cricket location-support system. In Proceedings of ACM International Conference on Mobile Computing and Networking (MobiCom'00). Google ScholarGoogle ScholarDigital LibraryDigital Library
  58. Rai, A., Chintalapudi, K. K., Padmanabhan, V. N., and Sen, R. 2012. Zee: Zero-effort Crowdsourcing for indoor localization. In Proceedings of ACM International Conference on Mobile Computing and Networking (MobiCom). Google ScholarGoogle ScholarDigital LibraryDigital Library
  59. Rappaport, T. 2002. Wireless Communications: Principles and Practice (2nd). Prentice Hall PTR. Google ScholarGoogle ScholarDigital LibraryDigital Library
  60. Ravindranath, L., Newport, C., Balakrishnan, H., and Madden, S. 2011. Improving Wireless Network Performance using Sensor Hints. In Proceedings of the USENIX Conference on Networked Systems Design and Implementation (NSDI'11). Google ScholarGoogle ScholarDigital LibraryDigital Library
  61. Reggiani, L., Rydstrom, M., Tiberi, G., Strom, E., and Monorchio, A. 2009. Ultra-wide band sensor networks for tracking point scatterers or relays. In Proceedings of IEEE International Symposium on Wireless Communication Systems (ISWCS'09). Google ScholarGoogle ScholarDigital LibraryDigital Library
  62. Rubner, Y., Tomasi, C., and Guibas, L. J. 2000. The earth mover's distance as a metric for image retrieval. Int. J. Comput. Vision 40, 2, 99--121. Google ScholarGoogle ScholarDigital LibraryDigital Library
  63. Saarnisaari, H. 1997. TLS-ESPRIT in a time delay estimation. In Proceedings of IEEE Vehicular Technology Conference (VTC'97).Google ScholarGoogle ScholarCross RefCross Ref
  64. Seidel, S. and Rappaport, T. 1992. 914 MHz path loss prediction models for indoor wireless communications in multifloored buildings. IEEE Trans. Antennas and Propagation 40, 2, 207--217.Google ScholarGoogle ScholarCross RefCross Ref
  65. Sen, S., Choudhury, R. R., and Nelakuditi, S. 2012a. SpinLoc: Spin once to know your location. In Proceedings of ACM Workshop on Mobile Computing Systems and Applications (HotMobile'12). Google ScholarGoogle ScholarDigital LibraryDigital Library
  66. Sen, S., Radunovic, B., Choudhury, R. R., and Minka, T. 2012b. You are facing the Mona Lisa: Spot localization using PHY layer information. In Proceedings of ACM International Conference on Mobile Systems, Applications, and Services (MobiSys'12). Google ScholarGoogle ScholarDigital LibraryDigital Library
  67. Seow, C. K. and Tan, S. Y. 2008. Localization of omnidirectional mobile device in multipath environments. Progress in Electromagnetics Research PIER 85, 323--348.Google ScholarGoogle ScholarCross RefCross Ref
  68. Sun, Z., Purohit, A., Chen, K., Pan, S., Pering, T., and Zhang, P. 2011. PANDAA: Physical arrangement detection of networked devices through ambient-sound awareness. In Proceedings of ACM International Conference on Ubiquitous Computing (UbiComp'11). Google ScholarGoogle ScholarDigital LibraryDigital Library
  69. Tan, K., Fang, J., Zhang, Y., Chen, S., Shi, L., Zhang, J., and Zhang, Y. 2010. Fine-grained channel access in wireless LAN. In Proceedings of ACM SIGCOMM Conference (SIGCOMM'10). Google ScholarGoogle ScholarDigital LibraryDigital Library
  70. Triki, M. and Slock, D. T. M. 2007. Mobile localization for NLOS propagation. In Proceedings of IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC'07).Google ScholarGoogle Scholar
  71. ur Rehman, W., de Lara, E., and Saroiu, S. 2008. CILoS: A CDMA indoor localization system. In Proceedings of ACM International Conference on Ubiquitous Computing (UbiComp'08). Google ScholarGoogle ScholarDigital LibraryDigital Library
  72. Wallace, J. and Sharma, R. 2010. Automatic secret keys from reciprocal MIMO wireless channels: Measurement and Analysis. IEEE Trans. Inf. Forensics Security 5, 3, 381--392. Google ScholarGoogle ScholarDigital LibraryDigital Library
  73. Wang, H., Sen, S., Elgohary, A., Farid, M., Youssef, M., and Choudhury, R. R. 2012. No need to war-drive: Unsupervised indoor localization. In Proceedings of ACM International Conference on Mobile Systems, Applications, and Services (MobiSys'13). Google ScholarGoogle ScholarDigital LibraryDigital Library
  74. Want, R., Hopper, A., Falcão, V., and Gibbons, J. 1992. The active badge location system. ACM Trans. Inf. Syst. 10, 1, 91--102. Google ScholarGoogle ScholarDigital LibraryDigital Library
  75. Wilson, J. and Patwari, N. 2010. Radio tomographic imaging with wireless networks. IEEE Trans. Mobile Comput. 9, 5, 621--632. Google ScholarGoogle ScholarDigital LibraryDigital Library
  76. Wilson, J. and Patwari, N. 2011. See-through walls: Motion tracking using variance-based radio tomography networks. IEEE Trans. Mobile Comput. 10, 5, 612--621. Google ScholarGoogle ScholarDigital LibraryDigital Library
  77. Wilson, J. and Patwari, N. 2012. A fade-level skew-laplace signal strength model for device-free localization with wireless networks. IEEE Trans. Mobile Comput. 11, 6, 947--958. Google ScholarGoogle ScholarDigital LibraryDigital Library
  78. Wong, C., Klukas, R., and Messier, G. G. 2008. Using WLAN infrastructure for angle-of-arrival indoor user location. In Proceedings of IEEE Vehicular Technology Conference (VTC'08).Google ScholarGoogle Scholar
  79. Wu, C., Yang, Z., Liu, Y., and Xi, W. 2013. WILL: Wireless indoor localization without site survey. IEEE Trans. Parallel Distrib. Syst. 24, 4, 839--848. Google ScholarGoogle ScholarDigital LibraryDigital Library
  80. Wu, K., Xiao, J., Yi, Y., Gao, M., and Ni, L. 2012. FILA: Fine-grained indoor localization. In Proceedings of IEEE International Conference on Computer Communications (INFOCOM'12).Google ScholarGoogle Scholar
  81. Xiao, J., Wu, K., Yi, Y., and Ni, L. M. 2012a. FIFS: Fine-grained indoor fingerprinting system. In Proceedings of IEEE International Conference on Computer Communications and Networks (ICCCN'12).Google ScholarGoogle Scholar
  82. Xiao, J., Wu, K., Yi, Y., Wang, L., and Ni, L. 2012b. FIMD: Fine-grained device-free motion detection. In Proceedings of IEEE 18th International Conference on Parallel and Distributed Systems (ICPADS'12). Google ScholarGoogle ScholarDigital LibraryDigital Library
  83. Xiao, L., Greenstein, L., Mandayam, N., and Trappe, W. 2008. Using the physical layer for wireless authentication in time-variant channels. IEEE Trans. Wireless Commun. 7, 7, 2571--2579. Google ScholarGoogle ScholarDigital LibraryDigital Library
  84. Xiao, L., Greenstein, L. J., Mandayam, N. B., and Trappe, W. 2009. Channel-based spoofing detection in frequency-selective Rayleigh channels. IEEE Trans. Wireless Commun. 8, 12, 5948--5956. Google ScholarGoogle ScholarDigital LibraryDigital Library
  85. Xiong, J. and Jamieson, K. 2012. Towards Fine-grained Radio-based Indoor Location. In Proceedings of ACM Workshop on Mobile Computing Systems and Applications (HotMobile'12). Google ScholarGoogle ScholarDigital LibraryDigital Library
  86. Xiong, J. and Jamieson, K. 2013. ArrayTrack: A fine-grained indoor location system. In Proceedings of USENIX Symposium on Networked Systems Design and Implementation (NSDI'13). Google ScholarGoogle ScholarDigital LibraryDigital Library
  87. Xu, C., Firner, B., Zhang, Y., Howard, R., Li, J., and Lin, X. 2012. Improving RF-based device-free passive localization in cluttered indoor environments through probabilistic classification methods. In Proceedings of ACM International Conference on Information Processing in Sensor Networks (IPSN'12). Google ScholarGoogle ScholarDigital LibraryDigital Library
  88. Yang, J., Sidhom, S., Chandrasekaran, G., Vu, T., Liu, H., Cecan, N., Chen, Y., Gruteser, M., and Martin, R. P. 2011. Detecting driver phone use leveraging car speakers. In Proceedings of ACM International Conference on Mobile Computing and Networking (MobiCom'11). Google ScholarGoogle ScholarDigital LibraryDigital Library
  89. Yang, L., Hou, W., Cao, L., Zhao, B. Y., and Zheng, H. 2010. Supporting demanding wireless applications with frequency-agile radios. In Proceedings of USENIX Conference on Networked Systems Design and Implementation (NSDI'10). Google ScholarGoogle ScholarDigital LibraryDigital Library
  90. Yang, Z., Wu, C., and Liu, Y. 2012. Locating in fingerprint space: Wireless indoor localization with little human intervention. In Proceedings of ACM International Conference on Mobile Computing and Networking (MobiCom'12). Google ScholarGoogle ScholarDigital LibraryDigital Library
  91. Ye, C., Mathur, S., Reznik, A., Shah, Y., Trappe, W., and Mandayam, N. B. 2010. Information-theoretically secret key generation for fading wireless channels. IEEE Trans. Inf. Forensics Secur. 5, 2, 240--254. Google ScholarGoogle ScholarDigital LibraryDigital Library
  92. Youssef, M. and Agrawala, A. 2005. The Horus WLAN location determination system. In Proceedings of ACM International Conference on Mobile Systems, Applications, and Services (MobiSys'05). Google ScholarGoogle ScholarDigital LibraryDigital Library
  93. Youssef, M., Mah, M., and Agrawala, A. 2007. Challenge: Device-free passive localization for wireless environments. In Proceedings of ACM International Conference on Mobile Computing and Networking (MobiCom'07). Google ScholarGoogle ScholarDigital LibraryDigital Library
  94. Zhang, D., Liu, Y., Guo, X., Gao, M., and Ni, L. 2012a. On distinguishing the multiple radio paths in RSS-based ranging. In Proceedings of IEEE International Conference on Computer Communications (INFOCOM'12).Google ScholarGoogle Scholar
  95. Zhang, D., Liu, Y., and Ni, L. M. 2010. Link-centric probabilistic coverage model for transceiver-free object detection in wireless networks. In Proceedings of IEEE International Conference on Distributed Computing Systems (ICDCS'10). Google ScholarGoogle ScholarDigital LibraryDigital Library
  96. Zhang, D., Ma, J., Chen, Q., and Ni, L. M. 2007. An RF-based system for tracking transceiver-free objects. In Proceedings of IEEE International Conference on Pervasive Computing and Communications (PerCom'07). Google ScholarGoogle ScholarDigital LibraryDigital Library
  97. Zhang, D. and Ni, L. 2009. Dynamic clustering for tracking multiple transceiver-free objects. In Proceedings of IEEE International Conference on Pervasive Computing and Communications (PerCom'09). Google ScholarGoogle ScholarDigital LibraryDigital Library
  98. Zhang, J., Firooz, M. H., Patwari, N., and Kasera, S. K. 2008. Advancing wireless link signatures for location distinction. In Proceedings of ACM International Conference on Mobile Computing and Networking (MobiCom'08). Google ScholarGoogle ScholarDigital LibraryDigital Library
  99. Zhang, V. and Wong, A.-S. 2009. Combined AOA and TOA NLOS localization with nonlinear programming in severe multipath environments. In Proceedings of IEEE Wireless Communications and Networking Conference (WCNC'09). Google ScholarGoogle ScholarDigital LibraryDigital Library
  100. Zhang, Z., Chu, D., Chen, X., and Moscibroda, T. 2012b. SwordFight: Enabling a new class of phone-to-phone action games on commodity phones. In Proceedings of ACM International Conference on Mobile Systems, Applications, and Services (MobiSys'12). Google ScholarGoogle ScholarDigital LibraryDigital Library
  101. Zhang, Z., Zhou, X., Zhang, W., Zhang, Y., Wang, G., Zhao, B. Y., and Zheng, H. 2011. I am the antenna: Accurate outdoor AP location using smartphones. In Proceedings of ACM International Conference on Mobile Computing and Networking (MobiCom'11). Google ScholarGoogle ScholarDigital LibraryDigital Library
  102. Zhao, Y., Liu, Y., and Ni, L. 2007. VIRE: Active RFID-based localization using virtual reference elimination. In Proceedings of IEEE International Conference on Parallel Processing (ICPP'07). Google ScholarGoogle ScholarDigital LibraryDigital Library
  103. Zhao, Y., Patwari, N., and Suresh, J. M. P. 2013. Radio tomographic imaging and tracking of stationary and moving people via kernel distance. In Proceedings of ACM International Conference on Information Processing in Sensor Networks (IPSN'13). Google ScholarGoogle ScholarDigital LibraryDigital Library
  104. Zhou, Z., Yang, Z., Wu, C., Shangguan, L., and Liu, Y. 2013. Towards omnidirectional passive human detection. In Proceedings of IEEE International Conference on Computer Communications (INFOCOM'13).Google ScholarGoogle Scholar

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        cover image ACM Computing Surveys
        ACM Computing Surveys  Volume 46, Issue 2
        November 2013
        483 pages
        ISSN:0360-0300
        EISSN:1557-7341
        DOI:10.1145/2543581
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        Publication History

        • Published: 27 December 2013
        • Accepted: 1 May 2013
        • Revised: 1 March 2013
        • Received: 1 December 2012
        Published in csur Volume 46, Issue 2

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