基于高分辨距离像的分布式协同识别方法

宽带高分辨图像是复杂突防场景下真假弹头识别最有效的特征之一。针对单部雷达无法有效估计目标真实尺寸问题,提出了基于分布式宽带雷达的高分辨一维像协同识别方法。通过多部宽带雷达协同测量,获取弹道目标同一时刻多视角下的高分辨一维距离像,利用多个视角的径向尺寸协同估计目标真实尺寸。仿真分析了典型突防场景下,双站最小二乘估计和递推最小二乘序贯协同尺寸估计方法的有效性。

Distributed Collaborative Recognition Method Based on High Resolution Range Profiles

Wideband high resolution range profile is one of the most effective warhead recognition features in complex penetration scenarios. Currently, single radar can''t effectively estimate the actual target dimension, thus a distributed collaborative recognition method based on high resolution range profiles is proposed by means of collaborative measurement of multiple wideband radars, so as to obtain high resolution range profiles of a ballistic target in multiple views at the same time and to estimate the actual target dimension by using radial dimensions in multiple views. Simulation results are presented to prove the validity of bi-static least square estimation and recursive least square sequence collaborative estimation in typical penetration scenarios.