基于联合子空间的宽带弱信号测向算法

Wideband DOA Estimation of Weak Signals Based on Joint Subspace

为了解决强干扰环境下宽带多波束系统中弱信号的测向问题,提出了一种基于干扰-噪声联合子空间的弱信号超分辨测向算法。该算法将强干扰对应特征向量并入噪声子空间,构造干扰-噪声联合子空间代替噪声子空间进行估计,干扰抑制与弱信号测向同步进行。分析和仿真实验表明:算法能够抑制强干扰的影响,实现邻近弱信号的正确测向,提高了弱信号的分辨概率。

In order to correctly estimate weak signals; directions with strong jamming for wideband beam form- ing system, a super-resolution direction finding algorithm for weak signals based on jamming--noise joint sub- space was proposed. Eigenvectors that represent strong jamming were combined with noise subspace to con- struct jamming-noise joint subspace, which was used to estimate weak signals; directions of arrival （DOA） in- stead of noise subspace. Jamming suppression and weak signals＇ DOA estimation were done simultaneously. A- nalysis and computer simulations showed that the proposed algorithm could suppress strong jamming effectively and got the correct DOA estimation of nearby weak signals, and the resolution probability of weak signals was improved.