A Statistical Vector Based Sensor Precision Evaluation Method for Multi-sensor Fusion System
LI Liying
CHEN Shiyou
Abstract：It is significant to obtain the accurate precision of sensors in multi-source fusion system for the parameters'selec?tion of data association,the weight allocation of synthesis algorithm and so on. According to the inherent redundancy of multi-sen?sors' measurement on common targets,the paper puts forward a statistical vector based method to evaluate the sensor precision with?out the targets' true position. The principles and data processing procedure are described in detail. The simulations on computer are carried out and the influence of data quantity on evaluation is analyzed. The results show that the proposed method can effectively es?timate the sensors' precision on the multi-platform,and the accuracy of sensors' precision can increase the amount of measuring date. When the amount of data is up to 1000,the relative error can be controlled within 10%.
Keywords：multi-platform data fusionnormal distributionK-S testgenetic algorithm
Publication Date：2019-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 2467-2472 )