{"title":"间歇观测下多传感器融合的系统边界","authors":"Robert Distel","doi":"10.1109/ICIF.2010.5712032","DOIUrl":null,"url":null,"abstract":"A closed form solution for an upper bound to the multi sensor Riccati equation with intermittent observations is derived. This solution is then used as a means to analyse system performance when the message loss process is a function of the number of sensors and to determine a simple analytic closed form method to determine when a message loss process causes a measure of the covariance to decrease as more sensors are added.","PeriodicalId":341446,"journal":{"name":"2010 13th International Conference on Information Fusion","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"System bounds for multisensor fusion with intermittent observations\",\"authors\":\"Robert Distel\",\"doi\":\"10.1109/ICIF.2010.5712032\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A closed form solution for an upper bound to the multi sensor Riccati equation with intermittent observations is derived. This solution is then used as a means to analyse system performance when the message loss process is a function of the number of sensors and to determine a simple analytic closed form method to determine when a message loss process causes a measure of the covariance to decrease as more sensors are added.\",\"PeriodicalId\":341446,\"journal\":{\"name\":\"2010 13th International Conference on Information Fusion\",\"volume\":\"28 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-07-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 13th International Conference on Information Fusion\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIF.2010.5712032\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 13th International Conference on Information Fusion","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIF.2010.5712032","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
System bounds for multisensor fusion with intermittent observations
A closed form solution for an upper bound to the multi sensor Riccati equation with intermittent observations is derived. This solution is then used as a means to analyse system performance when the message loss process is a function of the number of sensors and to determine a simple analytic closed form method to determine when a message loss process causes a measure of the covariance to decrease as more sensors are added.