{"title":"用于信号检测和定位的神经波束形成","authors":"T. O'Donnell, J. Simmers, H. Southall, T. Klemas","doi":"10.1109/MILCOM.1994.474024","DOIUrl":null,"url":null,"abstract":"The goal of neural beamforming is to design neural processing algorithms which adapt to low cost phased array antennas, even when they behave non-linearly, are imperfectly manufactured, or become degraded. Neural beamforming techniques can decrease antenna manufacturing and maintenance costs, and increase mission time and performance before repair. In this paper, we present a neural network architecture which performs signal detection and direction finding despite antenna degradations and non-linear behavior. We present the network's detection and direction-finding (DF) performance at various signal-to-noise ratios (SNRs) and compare it's DF accuracy to a monopulse technique, with and without calibration.<<ETX>>","PeriodicalId":337873,"journal":{"name":"Proceedings of MILCOM '94","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1994-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Neural beamforming for signal detection and location\",\"authors\":\"T. O'Donnell, J. Simmers, H. Southall, T. Klemas\",\"doi\":\"10.1109/MILCOM.1994.474024\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The goal of neural beamforming is to design neural processing algorithms which adapt to low cost phased array antennas, even when they behave non-linearly, are imperfectly manufactured, or become degraded. Neural beamforming techniques can decrease antenna manufacturing and maintenance costs, and increase mission time and performance before repair. In this paper, we present a neural network architecture which performs signal detection and direction finding despite antenna degradations and non-linear behavior. We present the network's detection and direction-finding (DF) performance at various signal-to-noise ratios (SNRs) and compare it's DF accuracy to a monopulse technique, with and without calibration.<<ETX>>\",\"PeriodicalId\":337873,\"journal\":{\"name\":\"Proceedings of MILCOM '94\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1994-10-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of MILCOM '94\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MILCOM.1994.474024\",\"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 MILCOM '94","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MILCOM.1994.474024","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Neural beamforming for signal detection and location
The goal of neural beamforming is to design neural processing algorithms which adapt to low cost phased array antennas, even when they behave non-linearly, are imperfectly manufactured, or become degraded. Neural beamforming techniques can decrease antenna manufacturing and maintenance costs, and increase mission time and performance before repair. In this paper, we present a neural network architecture which performs signal detection and direction finding despite antenna degradations and non-linear behavior. We present the network's detection and direction-finding (DF) performance at various signal-to-noise ratios (SNRs) and compare it's DF accuracy to a monopulse technique, with and without calibration.<>