Simple real time data fusion

被引：0
作者：
Polvani, DG [1 ]
机构：
[1] Northrop Grumman Corp, Elect Sensors & Syst Sector, Annapolis, MD 21404 USA
来源：
SENSOR FUSION: ARCHITECTURES, ALGORITHMS AND APPLICATIONS V | 2001年 / 4385卷
关键词：
hypothesis; fusion; data association; sequential probability ratio test; multiple passive sensors; multiple targets;
D O I：
10.1117/12.421111
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
We are developing new simple algorithms to provide automatic methods for fusing data from multiple passive sensors and multiple targets in real time. Initially, we have developed algorithms to fuse data from multiple passive collocated sensors measuring the same quantities (bearing and bearing rate) from multiple targets. MATLAB results with simulated data have been very encouraging. We present results for the probability of correct data association (PA) acid the probability of false data association (PFA) as a function of target angular separation, random noise, and the number of data updates used in the sequential probability ratio test (SPRT).
引用
收藏
页码：225 / 232
页数：8
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