Weitere Artikel dieser Ausgabe durch Wischen aufrufen
Accurate detection of the unknown radio transmitter (URT) is crucial to combat illegal occupation of radio signal resources and protect communication system from harmful signal interference. The fingerprint positioning technique based on received signal strength (RSS) is famous for requiring no extra equipment, antenna arrays, and time synchronization. However, conventional RSS-based fingerprint positioning techniques that utilize K-nearest neighbor (KNN) method are confronted with problems when the positioning target is radio transmitter with unknown emission strength and frequency. Moreover, they not only cannot realize the precise localization of the URT but also only rely on pre-set reference points in the fingerprint database. In this paper, a new KNN-based geo-location approach using received signal strength difference (RSSD) information and virtual reference point is proposed to estimate an URT location. To obtain more accurate RSSD measurements, a RSSD-based filtering method by calculating the Euclidean distance between each sampling RSSD and the average value is devised to establish the fingerprint database. To achieve higher positioning accuracy, we combine KNN technique with the virtual reference (VR) point to propose RSSD-VRKNN algorithm. The simulation results show that the proposed scheme can obtain the best positioning performance compared with the conventional KNN and weighted K-nearest neighbor (WKNN) techniques. The performance and feasibility of our proposed algorithm are verified through extensive experiments.
M. Y. Umair, K. V. Ramana, D. Yang, in 2014 IEEE Computers, Communications and IT Applications Conference. An enhanced K-Nearest Neighbor algorithm for indoor positioning systems in a WLAN (IEEEBeijing, 2015), pp. 19–23. https://doi.org/10.1109/ComComAp.2014.7017163.
A. Haniz, G. K. Tran, K. Saito, K. Sakaguchi, J. Takada, D. Hayashi, T. Yamaguchi, S. Arata, A novel phase-difference fingerprinting technique for localization of unknown emitters. IEEE Trans. Veh. Technol. 66(9), 8445–8457 (2017).
S. Chaudhari, D. Cabric, Cyclic weighted centroid algorithm for transmitter localization in the presence of interference. IEEE Trans. Cogn. Commun. Netw. 2(2), 162–177 (2016).
M. Ke, Y. Xu, A. Anpalagan, D. Liu, Y. Zhang, Distributed TOA-based positioning in wireless sensor networks: a potential game approach. IEEE Commun. Lett. 22(2), 316–319 (2018).
Z. Han, C. S. Leung, H. C. So, A. G. Constantinides, Augmented lagrange programming neural network for localization using time-difference-of-arrival measurements. IEEE Trans. Neural Netw. Learn. syst. 29(8), 3879–3884 (2018). MathSciNet
A. Noroozi, A. H. Oveis, M. R. Hosseini, M. A. Sebt, Improved algebraic solution for source localization from TDOA and FDOA measurements. IEEE Commun. Lett. 7(3), 352–355 (2018).
A. A. Ababneh, Density-based sensor selection for rss target localization. IEEE Sensors J. 18(20), 8532–8540 (2018).
D. Zhang, Y. He, X. Gong, Y. Hu, Y. Chen, B. Zeng, Multi-target AOA estimation using wideband LFMCW signal and two receiver antennas. IEEE Trans. Veh. Technol. 67(8), 7101–7112 (2018).
H. Steendam, A 3-D positioning algorithm for AOA-based VLP with an aperture-based receiver. IEEE J. Sel. Areas Commun. 36(1), 23–33 (2018).
S. Tomic, M. Beko, D. Rui, Distributed RSS-AOA based localization with unknown transmit powers. IEEE Commun. Lett. 5(4), 392–395 (2016).
Y. Wang, K. C. Ho, Unified near-field and far-field localization for AOA and hybrid AOA-TDOA positionings. IEEE Trans. Wireless Commun. 17(2), 1242–1254 (2018).
S. Tomic, M. Beko, D. Rui, 3-D target localization in wireless sensor network using RSS and AOA measurements. IEEE Trans. Veh. Technol. 66(4), 3197–3210 (2017).
J. Yin, Q. Wan, S. Yang, K. C. Ho, A simple and accurate TDOA-AOA localization method using two stations. IEEE Signal Process. Lett. 23(1), 144–148 (2016).
N. A. Jagadeesan, B. Krishnamachari, A unifying Bayesian optimization framework for radio frequency localization. IEEE Trans. Cogn. Commun. Netw. 4(1), 135–145 (2018).
M. Pauley, J. H. Manton, The existence question for maximum-likelihood estimators in time-of-arrival-based localization. IEEE Signal Process. Lett. 25(9), 1354–1358 (2018).
A. Tahat, G. Kaddoum, S. Yousefi, S. Valaee, F. Gagnon, A look at the recent wireless positioning techniques with a focus on algorithms for moving receivers. IEEE Access. 4:, 6652–6680 (2017).
C. Kan, G. Ding, Q. Wu, R. Li, F. Song, Robust relative fingerprinting-based passive source localization via data cleansing. IEEE Access. 6:, 19255–19269 (2018).
J. Zuo, S. Liu, H. Xia, Y. Qiao, Multi-phase fingerprint map based on interpolation for indoor localization using ibeacons. IEEE Sensors J. 18(8), 3351–3359 (2018).
Y. Xie, Y. Wang, A. Nallanathan, L. Wang, An improved k-nearest-neighbor indoor localization method based on spearman distance. IEEE Signal Process. Lett. 23(3), 351–355 (2016).
M. T. Van, N. V. Tuan, T. T. Son, H. Le-Minh, A. Burton, Weighted k-nearest neighbour model for indoor vlc positioning. Iet Commun. 11(6), 864–871 (2017).
M. T. Hoang, Y. Zhu, B. Yuen, T. Reese, X. Dong, T. Lu, R. Westendorp, M. Xie, A soft range limited k-nearest neighbors algorithm for indoor localization enhancement. IEEE Sens. J. 18(24), 10208–10216 (2018).
D. Li, B. Zhang, Z. Yao, C. Li, A feature scaling based k-nearest neighbor algorithm for indoor positioning systems. IEEE Internet Things J. 3(4), 590–597 (2016).
C. Li, Z. Qiu, C Liu, An improved weighted k-nearest neighbor algorithm for indoor positioning. Wirel. Pers. Commun. 96(2), 1–13 (2017).
X. Fang, Z. Jiang, L. Nan, L. Chen, Optimal weighted k-nearest neighbour algorithm for wireless sensor network fingerprint localisation in noisy environment. Iet Commun. 12(10), 1171–1177 (2018).
W. Xue, X. Hua, Q. Li, K. Yu, W. Qiu, Improved neighboring reference points selection method for wifi-based indoor localization. IEEE Sens. Lett. 2(2), 2475–1472 (2018).
A. K. M. M. Hossain, Y. Jin, W. S. Soh, H. N. Van, Ssd: A robust RF location fingerprint addressing mobile devices’ heterogeneity. IEEE Trans. Mobile Comput. 12(1), 65–77 (2013).
A. S. El-Wakeel, A. Noureldin, H. S. Hassanein, N. Zorba, in 2018 14th International Wireless Communications & Mobile Computing Conference (IWCMC). Utilization of Wavelet Packet Sensor De-noising for Accurate Positioning in Intelligent Road Services (IEEELimassol, 2018), pp. 1231–1236. https://doi.org/10.1109/IWCMC.2018.8450418.
Rappaport, Theodore, Wireless communications: principles and practice. 8(1), 33–8 (2001).
R. A. Valenzuela, in Proceedings of Vehicular Technology Conference - VTC. Antennas and propagation for wireless communications (IEEEAtlanta, 2002), pp. 1–5. https://doi.org/10.1109/VETEC.1996.503396.
- Detection of an unknown radio transmitter using an enhanced K-nearest neighbor algorithm based on virtual reference point and RSSD information
- Springer International Publishing
EURASIP Journal on Wireless Communications and Networking
Elektronische ISSN: 1687-1499
Neuer Inhalt/© ITandMEDIA