改善高分辨逆波束形成检测性能方法研究

The research of detection performance improving method for high-resolution inverse beam-forming

  • 摘要: 针对常规逆波束形成(IBF)不能突破瑞利限问题,相关学者提出一种基于自回归(AR)模型的逆波束形成算法(AR_IBF)来提高逆波束形成的方位分辨率,但该算法相比IBF在实际应用中的检测性能较差。本文通过修改AR模型来改善高分辨率逆波束形成算法(AR_IBF)的检测性。修正后的逆波束形成算法(MAR_IBF)在保证对目标方位的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本算法对目标的检测性能提高了近10logN ( N为阵元数)

     

    Abstract: Some scholars suggest that we use autoregressive (AR) model solve the problem that the conventional inverse beam-forming (IBF) is unable to break through the Rayleigh limit, and improve the bear resolution for inverse beam-forming, but the detection performance of this method (AR_IBF) is worse in the practical application. A modified method (MAR_IBF) is advanced for AR_IBF by modifying the AR in this paper, and which has good detection performance and bear resolution. Theory analysis and numerical simulation show that the detection performance of MAR_IBF is improved near 10logN ( N being number of elements), compared to the detection performance of AR_IBF.

     

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