基于多级模糊综合评判的雷达网目标识别技术

由于目前的战场环境非常复杂,目标识别具有重要意义。有关雷达的基于模糊综合评判的目标识别技术目前研究比较多,通过类似的方法可以进一步进行雷达网的目标识别,即采取两个单级模糊综合评判方法进行雷达网的目标识别,但这种方法具有一定的弱点,文中根据雷达网探测目标的特点,提出了一种基于多级模糊综合评判的雷达网目标识别方法。对这种方法与雷达网基于两个单级模糊综合评判进行目标识别的方法进行了仿真比较,结果表明前者较之后者具有计算量小、识别精确、便于工程应用的特点。

Target identification technique of radar networking based on multi-class fuzzy synthetical evaluation

For the target complexity of battlefield, the target identification technique is very important. There are many researches on target identification technique based on fuzzy synthetical evaluation. We can identify targets detected by radar networking using the same method, but it is not perfect. So a kind of target identification technique based on multi-class fuzzy synthetical evaluation is brought forward. Comparing the two methods by simulation, the results indicate that the target identification technique based on multi-class fuzzy synthetical evaluation can reduce the compute quantity, improve the identification precision and be used in technology easily.