一种有效的雷达微弱目标检测法

Effective algorithm for radar dim target detection

本文提出了一种检测前跟踪算法,它根据雷达图像中包含的目标运动参数的信息预测目标运动轨迹,并沿着预测轨迹积累能量,有效地解决了动态规划检测前跟踪算法(TBD-DP)在能量积累过程中的能量扩散问题。本文描述了算法的能量积累过程,仿真实验显示出该算法最大程度地抑制了聚集在真实目标点周围的虚警噪声,提高了检测前跟踪算法对目标的检测和分辨能力。

A new Track-Before-Detection (TBD) algorithm is proposed and analyzed in this paper. The new TBD algorithm, which accumulation target energy along target moving track, resolves the problem of energy diffusion in TBD-DP. According to the information of target moving parameters included in radar image sequences, the target moving track is achieved by prediction algorithm. Monte-Carlo simulations demonstrate that false alarm cells around target have been restrained effectively and the detection capability of TBD has been improved.