{"title":"测井传感器标定使用m -估计","authors":"Ji Daxiong, Liu Jian, Liu Kaizhou","doi":"10.1109/OCEANSSYD.2010.5603573","DOIUrl":null,"url":null,"abstract":"A calibration problem for log sensor of UUV is established and the problem can be divided into two separate parts: misalignment angle and scale factor of log sensor. Instead of using the conventional least square algorithm, a fine calibration approach based on M-estimate is used to suppress the effect of non-white noise. The adaptive factor relation to calibration precision is brought forward which is different from usual forgetting factor. The feasibility of the approach is demonstrated in the test of sea trail.","PeriodicalId":129808,"journal":{"name":"OCEANS'10 IEEE SYDNEY","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Log sensor calibration using M-estimate\",\"authors\":\"Ji Daxiong, Liu Jian, Liu Kaizhou\",\"doi\":\"10.1109/OCEANSSYD.2010.5603573\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A calibration problem for log sensor of UUV is established and the problem can be divided into two separate parts: misalignment angle and scale factor of log sensor. Instead of using the conventional least square algorithm, a fine calibration approach based on M-estimate is used to suppress the effect of non-white noise. The adaptive factor relation to calibration precision is brought forward which is different from usual forgetting factor. The feasibility of the approach is demonstrated in the test of sea trail.\",\"PeriodicalId\":129808,\"journal\":{\"name\":\"OCEANS'10 IEEE SYDNEY\",\"volume\":\"35 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-05-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"OCEANS'10 IEEE SYDNEY\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/OCEANSSYD.2010.5603573\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"OCEANS'10 IEEE SYDNEY","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/OCEANSSYD.2010.5603573","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A calibration problem for log sensor of UUV is established and the problem can be divided into two separate parts: misalignment angle and scale factor of log sensor. Instead of using the conventional least square algorithm, a fine calibration approach based on M-estimate is used to suppress the effect of non-white noise. The adaptive factor relation to calibration precision is brought forward which is different from usual forgetting factor. The feasibility of the approach is demonstrated in the test of sea trail.
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