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Volume 42 Issue 10
Oct.  2020
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Tianqi ZHANG, Shengqi YU, Tian ZHANG, Wanying GE. Estimation of the Pseudo Noise Sequence for Multi-Antenna NPLC-DS-CDMA Signals Based on Tensor Decomposition and Polynomial Library Search[J]. Journal of Electronics & Information Technology, 2020, 42(10): 2429-2436. doi: 10.11999/JEIT190406
Citation: Tianqi ZHANG, Shengqi YU, Tian ZHANG, Wanying GE. Estimation of the Pseudo Noise Sequence for Multi-Antenna NPLC-DS-CDMA Signals Based on Tensor Decomposition and Polynomial Library Search[J]. Journal of Electronics & Information Technology, 2020, 42(10): 2429-2436. doi: 10.11999/JEIT190406

Estimation of the Pseudo Noise Sequence for Multi-Antenna NPLC-DS-CDMA Signals Based on Tensor Decomposition and Polynomial Library Search

doi: 10.11999/JEIT190406
Funds:  The National Natural Science Foundation of China (61671095, 61702065, 61701067, 61771085), The Project of Key Laboratory of Signal and Information Processing of Chongqing (CSTC2009CA2003), The Chongqing Graduate Research and Innovation Project (CYS17219), The Research Project of Chongqing Educational Commission (KJ1600427, KJ1600429)
  • Received Date: 2019-06-05
  • Rev Recd Date: 2019-12-17
  • Available Online: 2020-07-17
  • Publish Date: 2020-10-13
  • To deal with the problem of estimation of the pseudo noise sequence for Non-Periodic Long Code Direct Sequence Code Division Multiple Access (NPLC-DS-CDMA) signals under low signal-to-noise ratio, a method using multi-antenna based on tensor decomposition and polynomial library search is proposed. Firstly, the received signals are modeled as a third-order tensor model and the tensor is divided into multiple sub-tensors according to the spreading gain. Secondly, the pseudo noise code fragment factor matrixs and the receiver gain factor matrixs are obtained from the sub-tensors by Canonical Polyadic (CP) decomposition which uses the Alternating Least Squares Projection (ALSP) algorithm, and then the pseudo noise sequence of each user is obtained by selecting pseudo noise code fragment combination sequence according to the cross-correlation of the receiver gain factor matrixs and sidelobe energy detection. Finally, the polynomial library search method is applied to identifying the generator polynomial of the pseudo noise sequence in order to further improve the accuracy of the pseudo code sequence estimation. The simulation results show that the proposed method can effectively estimate the pseudo noise sequence of the multi-antenna NPLC-DS-CDMA signals.
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