基于数据关联性能优化的跟踪门算法

A Performance Optimized Tracking Gate Algorithm Based on Data Association

典型的机载红外搜索跟踪系统采用大场和小场两种扫描方式,在不同的扫描方式下,跟踪门的设计有所不同。小场扫描频率高,可采用椭球形跟踪门;大场扫描频率低,宜采用类水滴形跟踪门。针对类水滴形跟踪门提出了一种基于数据关联的性能优化的跟踪门算法,通过它来减少跟踪门内来自非本目标的回波,最终达到提高多目标多传感器跟踪系统性能的目的。

The typical infrared search and tracking systems have two types of scanning way： one is the scanning way in a big field, the other is the way in a small field. In the different scanning way, the design of tracking gate is difference since the unlike scanning frequency. It is slow in a big field. To the system of the slow scanning frequency,the tracking gate of the form of a blob is the optimized. An optimal tracking gate algorithm based on the performance of data association aimed at the tracking gate of the form of a blob is presented in this paper. The invalid measurements are reduced greatly by using it and this leads to the improvement of the performance of multitarget-multisensor tracking system. The analysis in theory and the result show that in comparison with the classical method the performance of the system is effectively improved by using this algorithm,especially in a multitarget heavy clutter and false alarm environment.