{"title":"常见过程噪声对双传感器融合轨道性能的影响","authors":"Zhao Jie, Xu Tao, Ren Lixiang, Cui Zhishe","doi":"10.1109/NRC.2004.1316426","DOIUrl":null,"url":null,"abstract":"This paper presented the effect of the common process noise on track statistical distance and performance of state estimation fusion. Because of the great computational load on the cross-covariance matrix produced by process noise, indeed, which is a half or total computational load, the real-time computation of the cross-covariance matrix is avoided in system implementation. First, the computational load on the cross-covariance matrix, track statistical distance, and state estimation fusion are estimated and compared. And the effect of the common process noise on track statistical distance and performance of state estimation fusion are simulated. Simulation results show that in the case of less process noise, the cross-covariance matrix is neglected.","PeriodicalId":268965,"journal":{"name":"Proceedings of the 2004 IEEE Radar Conference (IEEE Cat. No.04CH37509)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2004-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Effect of the common process noise on performance of two-sensor fused-track\",\"authors\":\"Zhao Jie, Xu Tao, Ren Lixiang, Cui Zhishe\",\"doi\":\"10.1109/NRC.2004.1316426\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presented the effect of the common process noise on track statistical distance and performance of state estimation fusion. Because of the great computational load on the cross-covariance matrix produced by process noise, indeed, which is a half or total computational load, the real-time computation of the cross-covariance matrix is avoided in system implementation. First, the computational load on the cross-covariance matrix, track statistical distance, and state estimation fusion are estimated and compared. And the effect of the common process noise on track statistical distance and performance of state estimation fusion are simulated. Simulation results show that in the case of less process noise, the cross-covariance matrix is neglected.\",\"PeriodicalId\":268965,\"journal\":{\"name\":\"Proceedings of the 2004 IEEE Radar Conference (IEEE Cat. No.04CH37509)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-04-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2004 IEEE Radar Conference (IEEE Cat. No.04CH37509)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/NRC.2004.1316426\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2004 IEEE Radar Conference (IEEE Cat. No.04CH37509)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NRC.2004.1316426","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Effect of the common process noise on performance of two-sensor fused-track
This paper presented the effect of the common process noise on track statistical distance and performance of state estimation fusion. Because of the great computational load on the cross-covariance matrix produced by process noise, indeed, which is a half or total computational load, the real-time computation of the cross-covariance matrix is avoided in system implementation. First, the computational load on the cross-covariance matrix, track statistical distance, and state estimation fusion are estimated and compared. And the effect of the common process noise on track statistical distance and performance of state estimation fusion are simulated. Simulation results show that in the case of less process noise, the cross-covariance matrix is neglected.