{"title":"SOSTAR-X flight tests: Statistical analysis of avionic GMTI radar data","authors":"A. Montanari, D. Zei","doi":"10.1109/RADAR.2009.4976971","DOIUrl":null,"url":null,"abstract":"This paper presents the results of the long term statistical analysis performed over real multi-channel radar data collected during the flight tests of the SOSTAR-X avionic program. The analyzed datasets include clutter echo samples collected in GMTI operational modes over a number of geographic Regions, each containing homogeneous clutter sources. Temporal and spatial correlation properties are investigated for each region as well as their statistical behavior. The Clutter amplitude cumulative distributions are analyzed and compared to standard models (Rayleigh, K, Weibull and Lognormal) via Cramer-Von Mises distance. Power spectra are then estimated and compared with widely used models.","PeriodicalId":346898,"journal":{"name":"2009 IEEE Radar Conference","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE Radar Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RADAR.2009.4976971","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper presents the results of the long term statistical analysis performed over real multi-channel radar data collected during the flight tests of the SOSTAR-X avionic program. The analyzed datasets include clutter echo samples collected in GMTI operational modes over a number of geographic Regions, each containing homogeneous clutter sources. Temporal and spatial correlation properties are investigated for each region as well as their statistical behavior. The Clutter amplitude cumulative distributions are analyzed and compared to standard models (Rayleigh, K, Weibull and Lognormal) via Cramer-Von Mises distance. Power spectra are then estimated and compared with widely used models.
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