{"title":"Modulated lapped transform generalized sidelobe canceller","authors":"J.P. Stralka, T. D. Tran","doi":"10.1109/CAMAP.2005.1574215","DOIUrl":null,"url":null,"abstract":"Continuing improvements in analog and digital technology has made elemental digital beamforming (DBF) for sensor arrays a reality. Weak signal reception enhancement can be achieved through the adaptive suppression of potentially time-varying interference in operational environments. Utilizing all the degrees of freedom (DoF's) of an adaptive elemental DBF array with a large number of elements is often prohibitive in terms of computational complexity and speed of adaptation. Partially adaptive suboptimal architectures which reduce the DoF's with minimal performance degradation are required. One such architecture based on the generalized sidelobe canceller (GSC) with a wavelet-based spatial blocking matrix utilizing minimal length M-band K-regular wavelets has been previously proposed. The work presented in Y. Chu and W. Fang (2003) improves upon the wavelet-based GSC in terms of cancellation performance and computational efficiency by using the modulated lapped transform (MLT) to implement the blocking matrix","PeriodicalId":281761,"journal":{"name":"1st IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2005.","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"1st IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2005.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CAMAP.2005.1574215","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
Continuing improvements in analog and digital technology has made elemental digital beamforming (DBF) for sensor arrays a reality. Weak signal reception enhancement can be achieved through the adaptive suppression of potentially time-varying interference in operational environments. Utilizing all the degrees of freedom (DoF's) of an adaptive elemental DBF array with a large number of elements is often prohibitive in terms of computational complexity and speed of adaptation. Partially adaptive suboptimal architectures which reduce the DoF's with minimal performance degradation are required. One such architecture based on the generalized sidelobe canceller (GSC) with a wavelet-based spatial blocking matrix utilizing minimal length M-band K-regular wavelets has been previously proposed. The work presented in Y. Chu and W. Fang (2003) improves upon the wavelet-based GSC in terms of cancellation performance and computational efficiency by using the modulated lapped transform (MLT) to implement the blocking matrix