{"title":"主动声纳信号处理的傅里叶平面非线性滤波算法","authors":"F. Chan, B. Javidi","doi":"10.1109/LEOS.1996.565212","DOIUrl":null,"url":null,"abstract":"Nonlinear filtering techniques have been shown to provide good performance for pattern recognition applications. In this paper, we apply these techniques to active sonar processing and show improved performance of target echo ranging in highly reverberant environments. We propose an algorithm that eliminates the need for range and azimuthal data normalization after the matched filter by scaling the input signal prior to matched filtering.","PeriodicalId":332726,"journal":{"name":"Conference Proceedings LEOS'96 9th Annual Meeting IEEE Lasers and Electro-Optics Society","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1996-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fourier plane non-linear filtering algorithm for active sonar signal processing\",\"authors\":\"F. Chan, B. Javidi\",\"doi\":\"10.1109/LEOS.1996.565212\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Nonlinear filtering techniques have been shown to provide good performance for pattern recognition applications. In this paper, we apply these techniques to active sonar processing and show improved performance of target echo ranging in highly reverberant environments. We propose an algorithm that eliminates the need for range and azimuthal data normalization after the matched filter by scaling the input signal prior to matched filtering.\",\"PeriodicalId\":332726,\"journal\":{\"name\":\"Conference Proceedings LEOS'96 9th Annual Meeting IEEE Lasers and Electro-Optics Society\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-11-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Conference Proceedings LEOS'96 9th Annual Meeting IEEE Lasers and Electro-Optics Society\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/LEOS.1996.565212\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference Proceedings LEOS'96 9th Annual Meeting IEEE Lasers and Electro-Optics Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/LEOS.1996.565212","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fourier plane non-linear filtering algorithm for active sonar signal processing
Nonlinear filtering techniques have been shown to provide good performance for pattern recognition applications. In this paper, we apply these techniques to active sonar processing and show improved performance of target echo ranging in highly reverberant environments. We propose an algorithm that eliminates the need for range and azimuthal data normalization after the matched filter by scaling the input signal prior to matched filtering.