一种用于高脉冲重复频率雷达的TBD检测算法

A Track-Before-Detect Algorithm for High Pulse Repetition Frequency Radar

针对高脉冲重复频率雷达高速运动弱小目标检测的距离模糊问题,提出了一种基于动态规划的检测前跟踪算法。在目标的状态转移方程中,将目标的实际距离转化为模糊距离和模糊数两个变量,将解距离模糊问题转换为对模糊距离和模糊数的联合估计问题。文中提出的基于动态规划的检测前跟踪算法,通过最大后验概率估计方法(MAP)联合估计目标的模糊距离、多普勒速度和模糊数的变化,在存在距离模糊的情况下完成了对高速弱小目标能量的积累和检测。仿真结果表明,在多重脉冲重复频率工作模式下,该算法对高速运动弱小目标具有很好的检测性能。

In this paper, a novel track-before-detect （TBD） algorithm is proposed to detect radar high speed dim target for high pulse repetition frequency（HPRF） radars with range ambiguity. By considering the ambiguous radial range of the target and range ambiguous number as target states, the problem of range ambiguity resolving is conver- ted into the hybrid state estimation problem. We present a DP TBD method for joint maximum a posteriori （ MAP ） estimation of the target trajectory in ambiguous range-Doppler maps and the corresponding sequence of incremental quantity of range ambiguous number. With the existence of range ambiguity, the detection of dim target through the accumulation of corresponding energy is realized by the proposed algorithm. Simulation results and their analysis confirm preliminarily that the proposed method is effective and applicable, thus improving the detection performance of radar high speed dim target.