改进的高分辨逆波束形成算法在圆阵中应用

Application of improved high-resolution inverse beam forming algorithm to circle array

针对常规逆波束形成不能突破瑞利限问题,相关学者提出一种基于自回归模型的逆波束形成算法来改善逆波束形成算法的方位分辨率;但在实际应用中,该算法的检测性能比逆波束形成算法差。对此,本文通过修改自回归模型来改善基于自回归模型的逆波束形成算法的检测性能,并将其应用于圆阵中。改善后的算法在保证对目标方位高分辨率检测的同时,在较低信噪比条件下可实现对目标方位的有效检测。理论分析和数值仿真验证了改善后的算法相比基于自回归模型的逆波束形成算法在检测性能提高了近10log(2K+1)dB(2K+1为虚拟线阵阵元数)。

To solve the problem that the inverse beam-forming （IBF） cannot break the Rayleigh limit, some scholars suggest to use autoregressive （AR） model to improve the bear resolution for inverse beam-forming. However, the detection performance of automatism regression_ inverse beam-forming （AR_IBF） is not better than that of IBF in the practical application. In this paper, the modified automatism regression_ inverse beam-forming （MAR_IBF） enhanced the AR_IBF detection performance by modifying the AR. Theory analysis and numerical simulation show that the detection performance of MAR IBF increased by near 101og（2K＋ 1） （2K＋ 1 being number of dummy array elements） compared to that of AR_IBF.