Blind Estimation of the Spread Spectrum Sequence of DS-SS Signals Based on Improved Propagator Method

被引：0
|
作者：
Xie H. [1 ]
Ma J.-T. [1 ]
Yao Z.-G. [1 ]
Lü M. [1 ]
Shi L. [1 ]
Yin Y.-W. [1 ]
机构：
[1] Department of Electronic and Optics Engineering, Army Engineering University Shijiazhuang Campus, Shijiazhuang, 050003, Hebei
来源：
Tien Tzu Hsueh Pao/Acta Electronica Sinica | 2020年 / 48卷 / 01期
关键词：
Direct sequence spread spectrum (DS-SS); Eigenvalue; Propagator method; Signal subspace; Spread spectrum sequence;
D O I：
10.3969/j.issn.0372-2112.2020.01.002
中图分类号：
学科分类号：
摘要：
Aiming at the problem of inaccurate estimation of out-of-step time and large computation in eigenvalue decomposition algorithm, the direct sequence spread spectrum (DS-SS) signal blind estimation problem of spread spectrum sequence is studied, and an algorithm based on improved propagator is proposed in this paper. The algorithm can estimate the spread spectrum sequence and the signal out-of-step time by using the signal subspace. Compared with the eigenvalue decomposition method, the estimation accuracy of the out-of-step time is improved and the amount of calculation is effectively reduced. Finally, the computational amount and performance of the algorithm are simulated and verified. The results show that the proposed algorithm is effective, the computational amount is far less than the eigenvalue decomposition algorithm, and the performance is better under the condition of low SNR. © 2020, Chinese Institute of Electronics. All right reserved.
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页码：9 / 16
页数：7
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