交互MCMC-PF的雷达弱小目标检测与跟踪

Tracking and Detecting for Radar Weak Target Based on Interacting MCMC- Particle Filter Algorithm

针对复杂背景下雷达弱小目标的检测和跟踪问题,提出了一种改进粒子滤波的检测前跟踪算法。该方法在粒子滤波重采样阶段后,采用交互MCMC移动更新策略,充分结合粒子的自身历史信息和其他粒子信息,克服了粒子贫化问题,加快了算法收敛速度。通过在雷达回波距离-多普勒数据上,建立粒子滤波模型,并进行实验仿真,结果表明改进算法提高了雷达弱小目标的检测概率,跟踪误差小。

Aimed at the problem of the detection and tracking of radar weak targets under complex environments, an improved track-before-detect algorithm is introduced based on particle filter. The Interacting MCMC move step is performed after resampling particles, this refresh strategy can avoid sample impoverishment and accelerate the algorithm convergence rate via move each particle based on both its history information and the information from other particles. Establish model of particle filter based on radar echo range-doppler date and simulation, the results demonstrate that the improved algorithm can enhance the probability of detecting radar weak target, and obtain low tracking error.