基于NIC与Givens旋转的DS-CDMA信号伪码估计

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关键词：直接扩频序列码分多址；伪码估计；主子空间分析；Givens旋转；梅西算法中图分类号：TN911.7 文献标志码：A DOI：10.12305/j.issn. 1001-506X. 2025.07.32

Abstract： In addressing the issue of pseudo-code estimation for direct sequence code division multiple access （DS-CDMA） signals，an estimation method based on novel information criterion （NIC）and Givens rotation，is proposed，under the assmption of known DS-CDMA signal parameters. This method constructs a data matrix by segmenting the observed data into non-overlapping segments，corresponding to one pseudo-code period. The NIC is employed to identify the principal subspace within the data matrix，while Givens rotation is used to extract the signal principal components. Finally，the Massey algorithm is used to recover the multi-user generating polynomials. Simulation experiments demonstrate that the algorithm provides a3 dB improvement in noise robustnesscompared to eigenvalue decomposition. It also maintains high estimation accuracy，even with limited signal data volume.

Keywords：direct sequence code division multiple access （DS-CDMA）；pseudo-code estimation； principal subspace analysis;Givens rotation;Massey algorithm

0 引言

直接扩频序列码分多址（directsequencecodedivisionmultipleaccess，DS-CDMA）信号使用多伪码对用户信息码进行调制，达到扩展信号频谱的效果。（剩余11096字）