{"title":"ANALYSIS OF NON-STATIONARY RADIOMETER GAIN VIA ENSEMBLE DETECTION.","authors":"Mustafa Aksoy, Paul E Racette, John W Bradburn","doi":"10.1109/igarss.2019.8897887","DOIUrl":"10.1109/igarss.2019.8897887","url":null,"abstract":"<p><p>Although considered as stationary and Gaussian in general, radiometer gain is usually a fluctuating signal with non-stationary properties. Analyses of such non-stationary features is challenging as the radiometer signal cannot be observed independently. On the other hand, time series of post-gain voltages constitute an ensemble set for the radiometer gain which can be used to characterize the radiometer gain. This paper presents a novel technique called \"Ensemble Detection\" which can analytically retrieve the standard deviation of stationary Gaussian radiometer gain or find an equivalent stationary Gaussian process which represents the non-stationary radiometer gain under different calibration schemes. It has been found that the equivalent Gaussian process for non-stationary radiometer gain heavily depends on the calibration structure and the observation times of the measurand and the calibration references.</p>","PeriodicalId":93005,"journal":{"name":"IEEE International Geoscience and Remote Sensing Symposium proceedings. International Geoscience and Remote Sensing Symposium","volume":"2019 ","pages":"8893-8896"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7412603/pdf/nihms-1612119.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38256313","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}