强干扰背景下相干弱目标DOA估计算法

针对强相干干扰环境下弱信号的DOA估计问题，提出了一种小采样数的相干信源DOA估计算法。该算法首先通过修正的Toeplitz算法实现了对相干目标的解相干，然后基于干扰阻塞法剔除了强干扰的影响，从而可获得真实的弱信号空间方位。所提算法对非平稳噪声有较好的抑制性能，可适用于小采样数的环境。此外，该算法相对松弛算法、高阶累积量算法等信号分离方法，具有运算量小的优势。计算机仿真结果表明，新算法具有较好的测向性能，能在电子战环境下有效估计出目标信源的空间方位。

DOA Estimation Algorithm for Weak Signals in the Presence of Strong Jamming

For the weak signal DOA estimation in the presence of strong jamming, a few-snapshot co- herent DOA estimation algorithm in the presence strong jamming is proposed. The proposed algorithm uses the modified Toeplitz algorithm to de-correlate the coherent sources and then eliminate the effect of the strong jamming based on the jamming jam method（JJM）, so the angles of the weak signals can be estimated. The proposed algorithm has good performance to restrain the nonstationary noise, and is suitable for the few snapshots environment. Furthermore, it has low computational load compared with the RELAX method and high-order cumulate method. Computer simulation results demonstrate the proposed algorithm has good bearing performance and can estimate the target signal spatial azimuth effectively in electronic warfare environment.