{"title":"多传感器高速导航系统的频率响应方法","authors":"S. Cooper, H. Durrant-Whyte","doi":"10.1109/MFI.1994.398478","DOIUrl":null,"url":null,"abstract":"A method using classical frequency response techniques is described to enable the systematic design of multi-sensor systems and Kalman filter models, as is the design of a navigation system for a high speed (25 m/s) outdoor land vehicle using these methods, demonstrating the value of this technique in the design of sensor suites and the creation of error budgets.<<ETX>>","PeriodicalId":133630,"journal":{"name":"Proceedings of 1994 IEEE International Conference on MFI '94. Multisensor Fusion and Integration for Intelligent Systems","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"25","resultStr":"{\"title\":\"A frequency response method for multi-sensor high-speed navigation systems\",\"authors\":\"S. Cooper, H. Durrant-Whyte\",\"doi\":\"10.1109/MFI.1994.398478\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A method using classical frequency response techniques is described to enable the systematic design of multi-sensor systems and Kalman filter models, as is the design of a navigation system for a high speed (25 m/s) outdoor land vehicle using these methods, demonstrating the value of this technique in the design of sensor suites and the creation of error budgets.<<ETX>>\",\"PeriodicalId\":133630,\"journal\":{\"name\":\"Proceedings of 1994 IEEE International Conference on MFI '94. Multisensor Fusion and Integration for Intelligent Systems\",\"volume\":\"52 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-10-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"25\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 1994 IEEE International Conference on MFI '94. Multisensor Fusion and Integration for Intelligent Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MFI.1994.398478\",\"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 1994 IEEE International Conference on MFI '94. Multisensor Fusion and Integration for Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MFI.1994.398478","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A frequency response method for multi-sensor high-speed navigation systems
A method using classical frequency response techniques is described to enable the systematic design of multi-sensor systems and Kalman filter models, as is the design of a navigation system for a high speed (25 m/s) outdoor land vehicle using these methods, demonstrating the value of this technique in the design of sensor suites and the creation of error budgets.<>