关键词: 警戒相控阵雷达, 贝叶斯滤波, 变数据率跟踪, 反向机动, 目标跟踪时间, 资源优化分配

Abstract: For the optimal time resource allocation for target tracking of surveillance phased array radar，a variable data rate tracking algorithm is proposed based on Bayesian filtering algorithm. The adaptive data rate algorithm causes the tracking data rate to jitter due to the fluctuation of the measured noise in the uniform linear motion stage of target，but leads to losing the track of target in the reverse maneuvering stage of target. In the proposed algorithm, the normal distribution criterion is used to judge whether the target is maneuvering in the non-maneuvering phase, and the target acceleration obeys the corrected Rayleigh distribution in the maneuvering phase. The proposed algorithm uses different smoothing coefficients in the increasing and decreasing stages of data rate, thus enabling the quick response of target maneuver and ensuring to track a target in the reverse maneuvering phase. The simulated results of two maneuvering examples show that the proposed algorithm can effectively suppress the mismatch problem of target reverse maneuvering. Compared with the traditional Cohen algorithm, the new algorithm can quickly respond to target maneuver.

Key words: surveillancephasedarrayradar, Bayesianfilter, variabledataratetracking, reversemaneuvering, targettrackingtime, optimalresourceallocation