利用被动测量优化观测几何

2014 Fourth International Conference on Instrumentation and Measurement, Computer, Communication and Control Pub Date : 2014-09-18 DOI:10.1109/IMCCC.2014.85

Qian Zhang, Li Lin, Yan Zhao

{"title":"利用被动测量优化观测几何","authors":"Qian Zhang, Li Lin, Yan Zhao","doi":"10.1109/IMCCC.2014.85","DOIUrl":null,"url":null,"abstract":"The optimization of the observation geometry is very important for multi-sensor target tracking. This paper performs analysis of the Fisher information matrix obtained using the passive measurements, and analyzes the influences to the tracking performance by the observation geometry factors like the distance and the angle, therefore obtains the optimal criteria for the sensor selection in target tracking.","PeriodicalId":152074,"journal":{"name":"2014 Fourth International Conference on Instrumentation and Measurement, Computer, Communication and Control","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Optimization of the Observation Geometry Using the Passive Measurements\",\"authors\":\"Qian Zhang, Li Lin, Yan Zhao\",\"doi\":\"10.1109/IMCCC.2014.85\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The optimization of the observation geometry is very important for multi-sensor target tracking. This paper performs analysis of the Fisher information matrix obtained using the passive measurements, and analyzes the influences to the tracking performance by the observation geometry factors like the distance and the angle, therefore obtains the optimal criteria for the sensor selection in target tracking.\",\"PeriodicalId\":152074,\"journal\":{\"name\":\"2014 Fourth International Conference on Instrumentation and Measurement, Computer, Communication and Control\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-09-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 Fourth International Conference on Instrumentation and Measurement, Computer, Communication and Control\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IMCCC.2014.85\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 Fourth International Conference on Instrumentation and Measurement, Computer, Communication and Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IMCCC.2014.85","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

在多传感器目标跟踪中，观测几何结构的优化是非常重要的。本文对被动测量得到的Fisher信息矩阵进行了分析，分析了距离、角度等观测几何因素对目标跟踪性能的影响，从而得出了目标跟踪中传感器选择的最优准则。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

The Optimization of the Observation Geometry Using the Passive Measurements

The optimization of the observation geometry is very important for multi-sensor target tracking. This paper performs analysis of the Fisher information matrix obtained using the passive measurements, and analyzes the influences to the tracking performance by the observation geometry factors like the distance and the angle, therefore obtains the optimal criteria for the sensor selection in target tracking.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2014 Fourth International Conference on Instrumentation and Measurement, Computer, Communication and Control

自引率

0.00%

发文量