多径循环平稳信号二维波达方向估计——极化域平滑法

2-D Direction Finding of Cyclostationary Signals with Polarization Smoothing Algorithm in Multipath Environment

针对相干循环平稳信号,该文提出一种估计二维波达方向的新方法——极化域平滑法。该算法充分利用信号的循环平稳特性以及极化多样性,在不影响阵列孔径的情况下,进一步增大可估计的相干信源数目,且具有信号选择和噪声抑制能力。估计过程中各参数自动配对。仿真结果验证该文方法的有效性。

A new polarization smoothing algorithm is proposed for the 2-D direction finding of coherent cyclostationary signals. By sufficiently utilizing the cyclostationarity and polarization diversity, the proposed method increases the number of coherent sources that can be estimated and has the signal-selectivity and noise-robustness, without impacting the aperture of the sensors array. All parameters match automatically in the estimation process. Simulations are presented to show the performance of the algorithm.