幅值关联动态规划检测前跟踪算法

An Amplitude Association Dynamic Programming Track Before Detect Algorithm

针对超低信噪比条件下的弱小目标检测跟踪问题,本文提出一种新的动态规划检测前跟踪算法。首先,基于相邻帧的幅值关联函数,提出一种新的值函数构建方法,不仅考虑当前帧的幅值信息,还利用了相邻帧的幅值关联信息。其次,为解决新生目标或目标湮灭的情况,提出一种基于动态门限的遍历状态回溯算法。与同类算法的仿真分析说明,所提算法能有效提高超低信噪比条件下的弱小目标探测性能。

In order to detect and track low signal-to-noise ratio target, a new track before detect algorithm based on dynamic programming is proposed. The contributions consist of two aspects. Firstly, a new cost function method is proposed. It uses not only the measured amplitude information at current frame, but also uses amplitude association information between two consecutive frames. Secondly, an ergodic state backtracking algorithm with variable threshold is presented to detect new-born or vanished targets during the observation. Simulation results show the proposed algorithm effectiveness in detection performance.