杂波环境下机动目标跟踪的分布式估计算法

本文考虑了杂波环境下机动目标的多雷达跟踪问题，提出了一种分布式联合估计算法。子站独立于总站，并单独跟踪，把当地估计结果周期地传送给总站，由总站进行合并，得出基于所有子站量测的全局估计。数字仿真表明，分布式联合、估计算法在各种性能指标上都优于单站跟踪算法。

Distrbuted Adaptive Estimation for Tracking a Maneuvering Target in Clutter

The problem of tracking a maneuvering target in a cluttered environment by multuple radars is considered. This paper presents a distributed fusion algorithm.The local nodes transmit their estimation results to the fusion node, where the local estimation results are combined to obtain global estimation. The Monto Carlo simulation shows that the distributed fusion algorithm performs much better than the local estimation algorithm in every function index and achieves the expected effect.