分布式雷达盲源分离干扰抑制算法

针对大功率干扰下的分布式多站雷达探测能力下降的问题，本文提出了一种新的基于盲源分离的干扰抑制方法。该方法对多部雷达接收信号进行信号级和数据级的联合处理，包括干扰相对时延估计及补偿-盲源分离-多组合配对定位三个步骤。首先分别以不同接收回波信号为参考，采用相关法估计各站点干扰信号相对时延，并进行补偿使干扰成分得到校准。然后针对校准后的信号，采用盲源分离算法，实现干扰信号和目标回波信号分离。最后，利用多组合配对定位方法，剔除由于盲源分离得到的虚假目标定位点，从而得到真实目标位置信息。最后本文通过仿真实验证明了该算法的有效性。 

Jamming Suppression Based on Blind Source Separation in Distributed Radars

In this paper, a new jamming suppression method based on blind source separation was proposed for distributed multiple-radar in the presence of high power jamming. Multiple radars returns were processed simultaneously. This method involved three steps: the estimation and calibration of jamming delay, blind source separation and multi-station jointly positioning. First, with different returns as reference, using the correlation method to estimate the time delay of jamming signal in each station, and then compensating. Then, blind source separation algorithm was used to separate the jamming and the target echo for compensation signals. Furthermore, using multi-station jointly positioning, the false target locating points obtained by the blind source separation were eliminated, and the real target position point was obtained. The algorithm can suppress a variety of suppressive jamming and smart jamming with unknown jamming information. Finally, the effectiveness of this algorithm is proved by simulation experiments.