{"title":"基于神经网络的远场阵列处理","authors":"Brigitte Colnet, J. Haton","doi":"10.1109/ICASSP.1994.389665","DOIUrl":null,"url":null,"abstract":"Source localisation is among the most important steps in array processing. The authors present a neuromimetic approach in signal processing. A set of neural networks is used to find the azimuth of one or several sources impinging on a linear array of equally spaced sensors. Each network in this set is specialised to determine if there is an emitter in a given angular sector. Thus a neural network has a specific architecture suited to detect and enhance the signal coming from the angular sector it is associated with. The performances of this method on real underwater signals confirm the encouraging results obtained on simulation tests.<<ETX>>","PeriodicalId":290798,"journal":{"name":"Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing","volume":"84 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1994-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Far field array processing with neural networks\",\"authors\":\"Brigitte Colnet, J. Haton\",\"doi\":\"10.1109/ICASSP.1994.389665\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Source localisation is among the most important steps in array processing. The authors present a neuromimetic approach in signal processing. A set of neural networks is used to find the azimuth of one or several sources impinging on a linear array of equally spaced sensors. Each network in this set is specialised to determine if there is an emitter in a given angular sector. Thus a neural network has a specific architecture suited to detect and enhance the signal coming from the angular sector it is associated with. The performances of this method on real underwater signals confirm the encouraging results obtained on simulation tests.<<ETX>>\",\"PeriodicalId\":290798,\"journal\":{\"name\":\"Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing\",\"volume\":\"84 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-04-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICASSP.1994.389665\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICASSP.1994.389665","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Source localisation is among the most important steps in array processing. The authors present a neuromimetic approach in signal processing. A set of neural networks is used to find the azimuth of one or several sources impinging on a linear array of equally spaced sensors. Each network in this set is specialised to determine if there is an emitter in a given angular sector. Thus a neural network has a specific architecture suited to detect and enhance the signal coming from the angular sector it is associated with. The performances of this method on real underwater signals confirm the encouraging results obtained on simulation tests.<>
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
