{"title":"Coherent radar detection of targets against a combination of K-distributed and Gaussian clutter","authors":"A. Farina, F. Gini, M. Greco, P. Lombardo","doi":"10.1109/RADAR.1995.522524","DOIUrl":null,"url":null,"abstract":"This paper introduces the mathematical model of radar echoes generated by the mixture of coherent K-distributed and Gaussian distributed clutter sources. The optimum strategy to detect an a priori known target against the above mentioned disturbance and thermal noise is also presented, based on the likelihood ratio test. A Monte Carlo simulation has been performed to evaluate the receiver operating characteristics (ROCs). The probability of detection for a given false alarm probability has been calculated as a function of signal to noise ratio, K-distributed clutter to noise ratio, Gaussian distributed clutter to noise ratio, number of integrated pulses, order parameter /spl upsi/, correlation lengths of K-clutter and Gaussian disturbance. Moreover the performance of such a detector is compared with that of the detectors designed to take into account only one type of disturbance, either the K-distributed clutter or the Gaussian clutter.","PeriodicalId":326587,"journal":{"name":"Proceedings International Radar Conference","volume":"389 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"25","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings International Radar Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RADAR.1995.522524","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 25
Abstract
This paper introduces the mathematical model of radar echoes generated by the mixture of coherent K-distributed and Gaussian distributed clutter sources. The optimum strategy to detect an a priori known target against the above mentioned disturbance and thermal noise is also presented, based on the likelihood ratio test. A Monte Carlo simulation has been performed to evaluate the receiver operating characteristics (ROCs). The probability of detection for a given false alarm probability has been calculated as a function of signal to noise ratio, K-distributed clutter to noise ratio, Gaussian distributed clutter to noise ratio, number of integrated pulses, order parameter /spl upsi/, correlation lengths of K-clutter and Gaussian disturbance. Moreover the performance of such a detector is compared with that of the detectors designed to take into account only one type of disturbance, either the K-distributed clutter or the Gaussian clutter.