一种稳健的循环平稳信号波达方向估计算法

利用周期平稳特性可以提高波达方向的估计性能,BFat算法对循环频率误差较为敏感。分析了周期频率误差对BFat算法估计性能的影响,提出一种稳健的循环平稳信号波达方向算法RIBF-at,仿真结果表明,所提的RIBF-at算法对循环频率误差有较强的顽健性。

Robust direction of arrival estimating algorithm for cyclostationary signals

In communication system area, almost all signals exhibit a statistical property called cyclostationarity. Exploiting cyclostationarity can improve the direction finding performance of existing methods. However, those improved algorithms suffer from severe performance degradation even if there is a small mismatch in the cycle frequency error. In this paper, the performance of theBFatalgorithm is first evaluate in the presence of cycle frequency error, a robust methodRIBF-atis then proposed based on the previous analysis. Simulations show that the proposed algorithm enhances the robustness to the cycle frequency error.