摘要
将直接序列扩频(DS-SS)信号波形估计问题归结为信号子空间估计问题,提出基于传播算子算法的扩频波形估计方法。针对特征值分解求解信号子空间计算量较大的问题,利用传播算子估计信号子空间,并对算法计算量和性能进行理论分析和实验验证,结果表明该算法有效,且计算量远小于现有算法。
In this paper,the direct sequence spread spectrum(DS⁃SS)signal waveform estimation is reduced to the signal subspace estimation,and a spread spectrum waveform estimation method based on propagator algorithm is proposed.In order to reduce the calculated amount of solving the signal subspace by eigenvalue decomposition,the signal subspace is estimated by means of propagation operator,and the computational amount and performance of the algorithm are analyzed theoretically and verified experimentally.The results show that the algorithm proposed in this paper is effective,and the computational amount is far less than the existing algorithms.
作者
解辉
田建刚
姚智刚
吕萌
XIE Hui;TIAN Jiangang;YAO Zhigang;LÜMeng(Army Engineering University Shijiazhuang Campus,Shijiazhuang 050003,China;Unit 32140 of the PLA,Shijiazhuang 050003,China)
出处
《现代电子技术》
北大核心
2020年第1期53-55,共3页
Modern Electronics Technique
关键词
直接序列扩频
波形估计
传播算子
特征值分解
信号子空间
观测矩阵
理论分析
direct sequence spread spectrum
waveform estimation
propagation operator
eigenvalue decomposition
signal subspace
theoretical analysis
