同/异步短码DS-CDMA信号伪码序列及信息序列盲估计
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摘要
针对传统单通道异步直接序列码分多址(DS-CDMA)信号信息序列及伪码序列(PN)难以估计的问题,该文提出一种基于平行因子(PARAFAC)的多通道盲估计方法。该方法首先将信号建模为多通道接收模型,然后将观测数据矩阵等效为平行因子模型,最后使用迭代最小二乘算法对平行因子进行低秩分解,进一步完成对DS-CDMA信号各用户的信息序列及伪码序列进行估计。仿真实验表明,该方法不仅能有效地对同步、异步短码DS-CDMA信号的伪码序列及信息序列进行估计,而且能在通道数为6、信噪比(SNR)为–10 dB的条件下,实现10个用户伪码序列的有效估计。
For the problem of Direct Sequence-Code Division Multiple Access(DS-CDMA) signal in traditional asynchronous single-channel, including blind estimation of the Pseudo-Noise(PN) sequence and information sequence, a method using multi-channel synchronous and asynchronous based on PARAllel FACtor(PARAFAC) is proposed. Firstly, the signal is modeled as a multi-channel receiving model, then the observed data matrix is equivalent to a factor model. Finally, the iterative least squares algorithm is applied to decomposing the parallel factor, and the information sequence and PN sequences of DS-CDMA signals are further estimated. The simulation results show that the proposed method can effectively estimate the PN sequence and information sequence of the short code DS-CDMA signal, and the estimation of 6 user PN sequences can be realized under the condition that the number of channels is 10 and the Signal-to-Noise Ratio(SNR) is –10 dB.
For the problem of Direct Sequence-Code Division Multiple Access(DS-CDMA) signal in traditional asynchronous single-channel, including blind estimation of the Pseudo-Noise(PN) sequence and information sequence, a method using multi-channel synchronous and asynchronous based on PARAllel FACtor(PARAFAC) is proposed. Firstly, the signal is modeled as a multi-channel receiving model, then the observed data matrix is equivalent to a factor model. Finally, the iterative least squares algorithm is applied to decomposing the parallel factor, and the information sequence and PN sequences of DS-CDMA signals are further estimated. The simulation results show that the proposed method can effectively estimate the PN sequence and information sequence of the short code DS-CDMA signal, and the estimation of 6 user PN sequences can be realized under the condition that the number of channels is 10 and the Signal-to-Noise Ratio(SNR) is –10 dB.
引文
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[14]张天骐,强幸子,马宝泽,等.基于最小二乘的同步多用户非周期长码直扩信号扩频序列估计[J].电波科学学报,2016,31(6):1113-1123.doi:10.13443/j.cjors.2016030201.ZHANG Tianqi,QIANG Xingzi,MA Baoze,et al.Estimation of the spread spectrum sequence for synchronous multi-user aperiodic long-code DSSS signals based on least squares[J].Chinese Journal of Radio Science,2016,31(6):1113-1123.doi:10.13443/j.cjors.2016030201.
[15]张贤达.矩阵分析与应用[M].2版.北京:清华大学出版社,2013:604-608.ZHANG Xianda.Matrix Analysis and Applications[M].2nd ed.Beijing:Tsinghua University Press,2013:604-608.
[2]LUO Zhongqiang and ZHU Lidong.A charrelation matrixbased blind adaptive detector for DS-CDMA Systems[J].Sensors,2015,15(8):20152-20168.doi:10.3390/s150820152.
[3]张天骐,杨强,宋玉龙,等.基于相似度的直扩信号盲解扩方法[J].系统工程与电子技术,2017,39(7):1451-1456.doi:10.3969/j.issn.1001-506X.2017.07.04.ZHANG Tianqi,YANG Qiang,SONG Yulong,et al.Similarity based blind despread method of DS-SS signal[J].Systems Engineering and Electronics,2017,39(7):1451-1456.doi:10.3969/j.issn.1001-506X.2017.07.04.
[4]ZHOU Liqing,LEUNG H,XU Peng,et al.The Kalman filtering blind adaptive multi-user detector based on tracking algorithm of signal subspace[J].Information,2015,6(1):3-13.doi:10.3390/info6010003.
[5]赵知劲,李淼,尚俊娜.基于矩阵填充和三阶相关的长短码DS-CDMA信号多伪码盲估计[J].电子与信息学报,2016,38(7):1788-1793.doi:10.11999/JEIT151087.ZHAO Zhijin,LI Miao,and SHANG Junna.Blind estimation of LSC-DS-CDMA signal based on matrix completion and triple correlation[J].Journal of Electronics&Information Technology,2016,38(7):1788-1793.doi:10.11999/JEIT151087.
[6]GU Xiaowei,ZHAO Zhijin,and SHEN Lei.Blind estimation of pseudo-random codes in periodic long code direct sequence spread spectrum signals[J].IET Communications,2016,10(11):1273-1281.doi:10.1049/iet-com.2015.0374.
[7]张天骐,赵军桃,江晓磊.基于多主分量神经网络的同步DS-CDMA伪码盲估计[J].系统工程与电子技术,2016,38(11):2638-2647.doi:10.3969/j.issn.1001-506X.2016.11.27.ZHANG Tianqi,ZHAO Juntao,and JIANG Xiaolei.PNcode sequence blind estimate of synchronous DS-CDMAbased on multi-principal component neural network[J].Systems Engineering and Electronics,2016,38(11):2638-2647.doi:10.3969/j.issn.1001-506X.2016.11.27.
[8]付卫红,杨小牛,刘乃安.基于盲源分离的CDMA多用户检测与伪码估计[J].电子学报,2008,36(7):1319-1323.doi:10.3321/j.issn:0372-2112.2008.07.013.FU Weihong,YANG Xiaoniu,and LIU Naian.The multiuser detection and chip sequence estimation for CDMAsystem based on the blind source separation[J].Acta Electronica Sinica,2008,36(7):1319-1323.doi:10 .3321/j.issn:0372-2112.2008.07.013.
[9]任啸天,徐晖,黄知涛,等.基于Fast-ICA同、异步系统短码CDMA信号扩频序列与信息序列盲估计[J].电子学报,2011,39(12):2726-2732.REN Xiaotian,XU Hui,HUANG Zhitao,et al.Fast-ICAbased blind estimation of spreading and information sequences of short-code CDMA signals in synchronous and asynchronous systems[J].Acta Electronica Sinica,2011,39(12):2726-2732.
[10]DE LATHAUWER L and CASTAING J.Tensor-based techniques for the blind separation of DS-CDMA signals[J].Signal Processing,2007,87(2):322-336.doi:10.1016/j.sigpro.2005.12.015.
[11]ZHANG Tianqi,QIAN Wenrui,ZHANG Gang,et al.Parameter estimation of MC-CDMA signals based on modified cyclic autocorrelation[J].Digital Signal Processing,2016,54:46-53.doi:10.1016/j.dsp.2016.03.007.
[12]SIDIROPOULOS N D,GIANNAKIS G B,and BRO R.Blind PARAFAC receivers for DS-CDMA systems[J].IEEETransactions on Signal Processing,2000,48(3):810-823.doi:10.1109/78.824675.
[13]HARSHMAN R A,HONG S,and LUNDY M E.Shifted factor analysis-Part I:Models and properties[J].Journal of Chemometrics,2003,17(7):363-378.doi:10.1002/cem.808.
[14]张天骐,强幸子,马宝泽,等.基于最小二乘的同步多用户非周期长码直扩信号扩频序列估计[J].电波科学学报,2016,31(6):1113-1123.doi:10.13443/j.cjors.2016030201.ZHANG Tianqi,QIANG Xingzi,MA Baoze,et al.Estimation of the spread spectrum sequence for synchronous multi-user aperiodic long-code DSSS signals based on least squares[J].Chinese Journal of Radio Science,2016,31(6):1113-1123.doi:10.13443/j.cjors.2016030201.
[15]张贤达.矩阵分析与应用[M].2版.北京:清华大学出版社,2013:604-608.ZHANG Xianda.Matrix Analysis and Applications[M].2nd ed.Beijing:Tsinghua University Press,2013:604-608.