基于UCA-FDA雷达距离补偿的DOA估计方法

DOA estimation method of UCA-FDA radar with distance compensation

主瓣欺骗式干扰给雷达在电子对抗中的应用带来了挑战。为了解决电子对抗中主瓣距离欺骗干扰的到达方向(direction of arrival,DOA)估计问题,基于均匀圆阵的频率分集阵列(uniform circular array-frequency diverse array,UCA-FDA)雷达,提出了一种利用距离补偿的DOA估计方法。所提方法通过对雷达接收信号进行距离补偿,消除距离维度上的影响,并将角度联合导向矢量和处理后的协方差矩阵代入多重信号分类(multiple signal classification,MUSIC)算法,从而获得目标的方位角和俯仰角。此外,所提方法还增加了分辨来自同一方向的多个目标的功能,具有角度估计精度高、抗干扰性能好、适用低快拍情景的优点。仿真实验也证明了所提方法的有效性。

Mainlobe deceptive jamming brings challenges to radar applications in electronic countermeasures.In order to solve the direction of arrival(DOA)estimation problem of mainlobe distance deception jamming in electronic countermeasures,a distance compensation DOA estimation method based on uniform circular array-frequency diverse array(UCA-FDA)radar is proposed.The proposed method eliminates the influence of distance dimension by compensating the distance of radar receiving signals,and inputs the angle joint direction vector and the processed covariance matrix into the multiple signal classification(MUSIC)algorithm to obtain the azimuth and elevation angles of the target.In addition,the proposed method also increases the ability to distinguish multiple targets from the same direction,with the advantages of high angle estimation accuracy,good anti-jamming performance and fine application in low snapshot scene.Simulation experiments also prove the effectiveness of the proposed method.