基于NIC与Givens旋转的DS-CDMA信号伪码估计

doi:10.12305/j.issn.1001-506X.2025.07.32

Abstract

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 assumption 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 a 3 dB improvement in noise robustness compared to eigenvalue decomposition. It also maintains high estimation accuracy, even with limited signal data volume.

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

CLC Number:

TN911.7

Tianqi ZHANG, Xianyue WU, Chunyun LI, Juan TANG. Pseudo-code estimation of DS-CDMA signals based on NIC and Givens rotation[J]. Systems Engineering and Electronics, 2025, 47(7): 2399-2405.

Figures/Tables 6

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Table 1

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References 21

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算法	复杂度
特征值分解法	O(N³+N²M)
本文算法	O(5RNM+2R²M+2RM)

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Pseudo-code estimation of DS-CDMA signals based on NIC and Givens rotation

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