信号相位匹配原理的低空目标测向实验

利用自行设计的圆柱阵和圆台阵,对基于信号相位匹配原理的奇异值分解（SVDSPM,Singular Value Decompo-sition Based on Signal Phase Matching Principle）算法的低空测向性能进行了外场实验研究。分析了在圆柱阵和圆台阵两种条件下,SVDSPM算法的空间谱以及均值、绝对误差、方差、均方根误差等方位估计的统计误差,并与CBF（Con-ventional Beamforming）和MUSIC（Multiple Signal Classification）算法的性能进行了比较。实验结果表明,利用圆柱阵和圆台阵两种阵型,SVDSPM方法的指向性均较为尖锐。与CBF和MUSIC算法相比,SVDSPM算法对俯仰角估计的均方根误差最小,圆柱阵时为1.9°,圆台阵时为3.3°。

Experiment on SVDSPM algorithm for DOA estimation of low altitude target

In order to verify the validity of SVDSPM（Singular Value Decomposition Based on Signal Phase Matching Principle） algorithm,the experimental research on DOA（direction of arrival） estimation of low altitude target is carried out by using the existing cylinder array and frustum of a cone array.The experiments and results are explained and discussed with the following two topics：（1） SVDSPM algorithms using the cylinder array and the frustum of a cone array;（2） analyses of experimental results.The results show that：（1） SVDSPM algorithm can give sharp directivity and low side lobe;（2） compared with MUSIC（Multiple Signal Classification） and CBF（Conventional Beamforming）,SVDSPM is more efficient in low altitude target estimation.With SVDSPM using the cylinder array,the bias of azimuth is 1.9 degree.With SVDSPM using the frustum of a cone array,the bias of elevation is 3.3 degree.