基于数据率控制的非线性交互式滤波算法

A Nonlinear Interactive Filtering Algorithm Based on Data Rate Control

针对传统的非线性滤波算法EKF在高机动、低数据率下跟踪精度下降较快和UKF在低数据率下线性化误差小但实时性差的缺点,提出了一种基于数据率控制的交互式多模型滤波算法。该算法根据不同作战模式下目标的探测率和系统非线性大小,自适应地分配EKF和UKF两种非线性滤波算法的加权比例,有效克服了以往算法中仅选用单一滤波处理模型的缺陷。通过仿真验证,所提算法有效解决了传统EKF算法在目标机动时数据率下降导致的系统跟踪精度和稳定性下降太快的问题,相比UKF算法在机动段目标跟踪精度下降不多的情况下大大缩短了运行时间,减少了雷达资源消耗。

To overcome the shortcomings of traditional nonlinear filtering algorithms i.e.the EKF s tracking accuracy decreases rapidly at high maneuvering and low data rate and UKF has small linearization error but poor real-time performance at low data rate an interactive multi-model filtering algorithm based on data rate control is proposed.This algorithm adaptively allocates the weights of EKF and UKF according to the target detection rate and the system non-linearity in different combat modes which effectively overcomes the shortcomings of only using one filtering model in previous algorithms.The simulation results show that the proposed algorithm solves the problem that the tracking accuracy and stability of the system decrease too fast when the data rate of the EKF algorithm decreases while the target is maneuvering.Compared with that of the UKF algorithm the running time of the proposed algorithm is greatly shortened and the radar resource consumption is reduced when the tracking accuracy of the system decreases little in the maneuvering phase.