基于变异系数的多传感器数据判别方法

A Method of Discriminatory Analysis for Multi-sensors Data Based on Coefficient of Variation

根据多传感器获取的数据,可以判别被观测对象的属性.为了解决以往仅利用距离判别对象归属所导致的计算量过大、运算速度较慢等问题,本文提出一种利用变异系数将对象进行归属判别的方法.仿真结果表明,该算法在计算量方面有明显降低,效率得到显著提高.

Using data from different sensors,it can discriminate the belonging type of the object.In order to solve the problems of colossal computing dimension and low efficiency and so on,this paper presents a new algorithm what utilizes coefficient of variation to discriminate the belonging type of the object.The simulation results show that,compared with the former method,this algorithm reduces the computing burden and improves the discrimination efficiency conspicuously.