带残余频偏的软扩频信号伪码序列盲估计

doi:10.12305/j.issn.1001-506X.2024.10.35

Abstract

Abstract:

Aiming at the difficulty of blind estimation of pseudo-code sequence of soft spread spectrum signals with residual frequency offset, a singular value decomposition (SVD) combined with digital phase locked loop (DPLL) method is proposed. The data matrix is generated through non-overlapping segments of the signal to be processed, and the length of each segment is a single pseudo-code period. Then, the element in the upper right corner of the autocorrelation matrix is used to estimate the out-of-step point for synchronization, and the autocorrelation matrix is recalculated to estimate the base number according to the number of large eigenvalues. Finally, the blind estimation of pseudo-code sequence is finally realized by combining multiple fast SVD algorithms with DPLL. The simulation results show that the proposed method can effectively estimate the pseudo-code sequence of the soft spread spectrum signal with residual frequency offset under low signal-to-noise ratio (SNR), and the performance of the proposed method is better than that of other comparative methods.

Key words: soft spread spectrum signal, blind estimation, residual frequency offset, singular value decomposition (SVD), digital phase locked loop (DPLL)

CLC Number:

TN911.7

Tianqi ZHANG, Huizhi ZHANG, Qingyu LUO, Rong FANG. Blind estimation of pseudo-code sequence of soft spread spectrum signal with residual frequency offset[J]. Systems Engineering and Electronics, 2024, 46(10): 3586-3593.

Figures/Tables 9

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Table 1

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算法	k
算法	2	4
本文	27.6	107.5
Jade+DPLL	34.7	263.7
文献[21]	16.0	48.5

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Blind estimation of pseudo-code sequence of soft spread spectrum signal with residual frequency offset

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