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Wireless Personal Communications
Erschienen in: Wireless Personal Communications 3/2015

01.06.2015

An Improved Channel Estimation in a TD-SCDMA System Based on the Threshold of Detect Energy and its Performance Analysis

verfasst von: Tongliang Fan, Shengbo Huang, Yandong Sun, Xue Zhao, Wen Ye, Yucang Wen

Erschienen in: Wireless Personal Communications | Ausgabe 3/2015

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Abstract

B. Steiner estimator used in the time-division synchronous code-division multiple access (TD-SCDMA) system is a low cost estimator. The precision of the estimated channel impulse responses (CIRs) is affected by noises in the channel, which result in worse performance of the estimation. For the reason that there are many threshold processing algorithms based on Steiner algorithm, the optimal threshold value becomes a crucial factor. In this paper, based on statistical information of channel in the data field, an improved channel estimation algorithm is proposed by detecting energy of CIR’s tap in time-domain, and the amplitude of estimated channel impulse response is adjusted by a gain coefficient. Simulation results prove the validity of the proposed technique for channel estimation good performance. Additionally, it is shown that the improved estimators outperform traditional channel estimators.
Vorheriger Artikel Secure Cooperative Communication via Artificial Noise for Wireless Two-Hop Relaying Networks
Nächster Artikel Efficient Decoding Scheme for Cooperative Communication Using Hierarchical Modulation in the Mobile Communication Systems

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Literatur
1.
Liu, G., Zhang, J., Zhang, P., Wang, Y., Liu, X., & Li, S. (2006). Evolution map from TD-SCDMA to future B3G TDD. IEEE Communications Magazine, 44(3), 54–61.CrossRefMathSciNet
2.
Peng, M., Wang, W., & Chen, H. H. (2010). TD-SCDMA evolution. IEEE Vehicular Technology Magazine, 5(2), 28–41.CrossRef
3.
Song, X., Li, K., & Hu, A. (2007). Two-stage channel estimation algorithm for TD-SCDMA system employing multi-cell joint detection. Circuits, Systems and Signal Processing, 26(6), 76–80.CrossRefMathSciNet
4.
Shaoli, K., Zhengding, Q., & Shihe, L.I. (2002). Improvement of the low-cost channel estimation method used in TD-SCDMA system. Journal of China Institution of Communications, 23(10).
5.
Physical Channels and Mapping of Transports Channels Onto Physical Channels (TDD). (2002). 3rd generation partnership project (3GPP) technical specification group radio access network 3GPP TS 25.221, Rev. 4.7.
6.
Spreading and Modulation (TDD). (2002). 3rd generation partnership project (3GPP) technical specification.
7.
See, C. S., Cowan, C. F. N., & Nehorai, A. (1999). Spatiotemporal channel identification and equalization in the presence of strong co-channel interference. Signal Processing, 78, 127–138.CrossRefMATH
8.
Steiner, B., & Baier, P. (1993). Low cost channel estimation in the uplink receiver of CDMA mobile radio systems [J]. Frequenz, 47(12), 292–298.
9.
Steiner, B., & Jung, P. (1994). Optimum and suboptimum channel estimation for the uplink of CDMA mobile radio systems with joint detection [J]. European Transactions on Telecommunications, 5(1), 39–50.CrossRef
10.
KANG, S.-L., Qiu, Z.-D., & Li, S.-H. (2002). Improvement of the low-cost channel estimation method used in TD-SCDMA system [J]. Journal on Communications, 23(10), 108–113.
11.
Yong-yu, Chang, Li-li, Huang, & Da-cheng, Yang. (2005). Performance analysis improvement of the channel estimation algorithm in the TD-SCDMA system [J]. Journal of Electronics and Information Technology, 27(7), 1110–1113.
12.
Hou, J., Tang, L. (2010). An improved channel estimation algorithm of TD-SCDMA system. Critical Infrastructure (CRIS), 5th International Conference. 20–22, pp:1–5.
13.
Frank, A. D., & Wolfang, U. (2005). Pilot-assisted channel estimation based on second-order statistics. IEEE Transactions on Signal Processing, 53(3), 1178–1193.CrossRefMathSciNet
14.
Wu, J. X., Xiao, C. S., & Letaief, K. B. (2005). Multiuser channel estimation for CDMA systems over frequency-selective fading channels. IEEE Transactions on Wireless Communications, 4(4), 1724–1736.CrossRef
15.
Marzook, A. K., Ismail, A., Ali, B. M., Sali, A., & Khatun, S. (2013). Singular value decomposition rank-deficient-based estimators in TD-SCDMA systems. Circuits, Systems, and Signal Processing, 32(1), 205–221.CrossRefMathSciNet
16.
Marzook, Ali K., Ismail, A., Ali, B. M., Sali, A., & Khatun, S. (2013). Reduced rank technique for joint channel estimationand joint data detection in TD-SCDMA systems. Wireless Personal Communication, 69, 1629–1646.CrossRef
17.
Cao, W., Yu, X., & Wang, W. (2004). A novel channel estimation algorithm with PN training sequence in TD-SCDMA systems. Communications, Circuits and Systems, 2, 847–850.
18.
Song, X., Li, K. (2008). Improved channel estimation algorithm based on parallel interference cancellation. Neural Networks and Signal Processing, p. 466.
19.
3GPP TS 25.221, V7.4.0. (2007). Physical channels and mapping of transport channels onto physical channels (TDD).
20.
Klein, A., Kaleh, G. W., & Baier, P. W. (1996). Zero forcing and minimum mean-square-error equalization for multiuser detection in code-division multiple-access channels. IEEE Transactions on Vehicular Technology, 45(2), 276–287.CrossRef
21.
Guo-song, Li, & Zheng-OU, Zhou. (2005). An algorithm to reduce MSE of LS channel estimation in mobile OFDM system. Journal of Electronics Information Technology, 27(9), 1454–1458.
22.
Xuan, Lu. (1998). Mathematical statistics foundation. Beijing: Tsinghua University Press.
23.
Sun, Xiaoliang. (2010). Research on channel estimation based on training sequence in TD-SCDMA system. postgraduate dissertation Beijing University of Posts and Telecommunications.
Metadaten
Titel
An Improved Channel Estimation in a TD-SCDMA System Based on the Threshold of Detect Energy and its Performance Analysis
verfasst von
Tongliang Fan
Shengbo Huang
Yandong Sun
Xue Zhao
Wen Ye
Yucang Wen
Publikationsdatum
01.06.2015
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 3/2015
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-015-2312-7

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