{"title":"异步多传感器网络的乱序测量融合","authors":"Ge Quanbo, Wang Xun, Guan Binglei","doi":"10.1109/CCDC.2009.5194688","DOIUrl":null,"url":null,"abstract":"Different sensors' sampling velocities and random transmission delay for wireless sensor networks often make the Out-Of-Sequence Measurements (OOSM) appearred. Most of the current OOSM algorithms are established for some special asynchronous systems, so they can't not only deal with the case that there have multiple OOSMs in the fusion period but also have bad universal ability. For mentioned problems above, the centralized fusion methods for this OOSM system is proposed based on equivalent measurements and orthogonal mapping technologies for a general OOSMs system with asynchronous sampling. The theoretic analysis and simulation examples both show that the proposed OOSM fusion algorithms not only deal with effectively arbitrary asynchronous OOSM system but also the fusion accuracy is better than the current OOSM method for special system.","PeriodicalId":127110,"journal":{"name":"2009 Chinese Control and Decision Conference","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Out-Of-Sequence Measurements fusion for asynchronous multisensor network\",\"authors\":\"Ge Quanbo, Wang Xun, Guan Binglei\",\"doi\":\"10.1109/CCDC.2009.5194688\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Different sensors' sampling velocities and random transmission delay for wireless sensor networks often make the Out-Of-Sequence Measurements (OOSM) appearred. Most of the current OOSM algorithms are established for some special asynchronous systems, so they can't not only deal with the case that there have multiple OOSMs in the fusion period but also have bad universal ability. For mentioned problems above, the centralized fusion methods for this OOSM system is proposed based on equivalent measurements and orthogonal mapping technologies for a general OOSMs system with asynchronous sampling. The theoretic analysis and simulation examples both show that the proposed OOSM fusion algorithms not only deal with effectively arbitrary asynchronous OOSM system but also the fusion accuracy is better than the current OOSM method for special system.\",\"PeriodicalId\":127110,\"journal\":{\"name\":\"2009 Chinese Control and Decision Conference\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-06-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 Chinese Control and Decision Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCDC.2009.5194688\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Chinese Control and Decision Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCDC.2009.5194688","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Out-Of-Sequence Measurements fusion for asynchronous multisensor network
Different sensors' sampling velocities and random transmission delay for wireless sensor networks often make the Out-Of-Sequence Measurements (OOSM) appearred. Most of the current OOSM algorithms are established for some special asynchronous systems, so they can't not only deal with the case that there have multiple OOSMs in the fusion period but also have bad universal ability. For mentioned problems above, the centralized fusion methods for this OOSM system is proposed based on equivalent measurements and orthogonal mapping technologies for a general OOSMs system with asynchronous sampling. The theoretic analysis and simulation examples both show that the proposed OOSM fusion algorithms not only deal with effectively arbitrary asynchronous OOSM system but also the fusion accuracy is better than the current OOSM method for special system.