脉冲噪声环境下宽带循环平稳信号DOA估计算法

DOA Estimation Algorithm of Wideband Cyclostationary Signals in Impulsive Noise Environment

针对传统二阶循环相关算法在脉冲噪声环境中的显著退化问题,本文以α稳定分布为噪声模型,提出基于分数低阶循环相关的波达方向(Direction of arrival,DOA)估计算法。利用分数低阶循环相关的相移特性,将宽带循环平稳信号的DOA估计问题转化为"中心频率"为ε的窄带问题,解决了宽带情况下DOA估计困难的问题。计算机仿真结果进一步验证了此算法的有效性,且性能优于传统SC-SSF(Spectral correlation signal subspacefitting)算法。

Since the conventional second-order cyclic statistics algorithms degenerate severely in the impulsive noise environment, the paper takes the a-stable distribution as the noise model and presents an algorithm of direction of arrival （DOA） estimation based on the fractional lower order cyclic correlation. The algorithm transforms the DOA estimation of the wideband cyclostationary signals into the narrowband problem with the ＇center frequency＇ ε by using the phase shift characteristics of the fractional lower order cyclic correlation. Simulation results indicate that the new algorithm is superior to the classicalspectral correlation signal subspace fitting （SC-SSF） algorithm.