高斯粒子滤波检测前跟踪方法

Gaussian particle filter-based track-before-detect method

针对低信噪比条件下微弱目标的检测和跟踪,提出了一种高斯粒子滤波检测前跟踪(TBD)方法。该方法采用高斯粒子滤波递归地估计目标的状态,结合固定样本长度(FSS)似然比检验实现了对微弱目标的检测和跟踪。由于避免了粒子滤波TBD方法中的重采样过程,高斯粒子滤波TBD方法没有采样枯竭现象,算法复杂度小。仿真实验表明,该算法对微弱目标具有良好的实时检测和跟踪性能。

Aiming at detection and tracking of weak targets under low Signal-to-Noise Ratio（SNR）situations,a Gaussian Particle Filter（GPF）-based Track-Before-Detec（tTBD） method is proposed in this paper.The states of the target are estimated recursively by the proposed method,and the detection of the target is performed by a Fixed Sample Size（FSS） Likelihood Ratio Tes（tLRT）.Due to the resampling which is in the particle filter TBD method is not required in the GPF TBD,thus the proposed method avoids the the sample impoverishment and has a low computational complexity.Simulation results show that the proposed method has favorable performance of detection and tracking for weak targets.