{"title":"Compressed power spectrum, carrier and DOA estimation via PARAFAC decomposition","authors":"Jun Fang, Feiyu Wang, Hongbin Li","doi":"10.1109/CAMSAP.2017.8313106","DOIUrl":null,"url":null,"abstract":"This paper considers the problem of joint wideband spectrum sensing and direction-of-arrival (DoA) estimation in a sub-Nyquist sampling framework. A new phased-array based sub-Nyquist receiver architecture, which requires only a single delay channel for each sensor output and thus can be implemented simply and efficiently, is proposed. We proposed a CANDECOMP/PARAFAC (CP) decomposition-based method for joint wideband spectrum sensing and DOA estimation through exploiting the cross-correlations between different sensor outputs. Simulation results under different numbers of antennas and signal to noise ratios (SNR) are provided to corroborate our proposed algorithm.","PeriodicalId":315977,"journal":{"name":"2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CAMSAP.2017.8313106","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
This paper considers the problem of joint wideband spectrum sensing and direction-of-arrival (DoA) estimation in a sub-Nyquist sampling framework. A new phased-array based sub-Nyquist receiver architecture, which requires only a single delay channel for each sensor output and thus can be implemented simply and efficiently, is proposed. We proposed a CANDECOMP/PARAFAC (CP) decomposition-based method for joint wideband spectrum sensing and DOA estimation through exploiting the cross-correlations between different sensor outputs. Simulation results under different numbers of antennas and signal to noise ratios (SNR) are provided to corroborate our proposed algorithm.