基于二階統(tǒng)計量的盲波束形成方法
BLIND BEAM-FORMING BASED ON SECOND-ORDER STATISTICS
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摘要: 為了恢復(fù)二階統(tǒng)計獨立的源信號,本文給出一種基于二階統(tǒng)計量的盲波束形成方法。這個方法是基于二階統(tǒng)計獨立的源信號之間統(tǒng)計互不相關(guān)的特性.此方法適用于任意流形陣列 的盲波束形成.除了要求噪聲是白色的外,源信號必須是有色的隨機信號或確定信號。沒有必要估計波達方向.在源信號估計中,此方法使信號與干擾加上噪聲之比達到了最大。與累積量基方法相比,這個方法的最突出優(yōu)點有:方法簡單,運算量少以及二階相關(guān)矩陣易魯棒地估計,因此更適合于在移動通信中應(yīng)用。
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關(guān)鍵詞:
- 二階統(tǒng)計量; 盲波束形成; ESPRIT方法
Abstract: In order to recover the statistically imdependent source signals,the paper proposes a novel blind beam-forming approach based on two-order statistics.In this method,the source signals are extracted by the statistic properties of the zero cross-correlation between any two source signlas,under the case of unknown array manifold.The approach can be applied to the array beamforming with arbitrary array manifold and error.The method requires that the noise is white and the source signals are colored or deternuninistic,and not requires the estimation of arrival-direction of signals.In extracting source signals,it will make SNR be largest.On thecontrary to the blind beamforming besed on higher-order statistics,it is simple and robust,and can extensively be applied to the blind separation of mobile communication signals. -
Monzingo R A,Miller T W.Introduction to Adaptive Arrays.New York:Wiley,25-200.[2]Cardoso J F,Souloumiac A.Blind beamforming for nonGaussian signals.IEE Proc.-F,1993, 140(2):362-370.[3]Tong L,Inouge Y,Liu R.Waveform preserving blind estimation of multiple independent sources[J].IEEE Trans.On Signal Processing.1993,41(10):2461-2470[4]Gonen E,Mendel J M.Applications of cumulunts to array processing Part III:Blind beamforming for cohenent signal.IEEE Trans on Signal Processing,1997(9):2252-2264.[5]Tong L,Soon V,Huang Y F,Liu R.Indeterminacy and identifiability of blind identification. IEEE Trans.On Circuits Syst.199l,38(3):499-509.[6]Ray R,Kailath T.ESPRIT-estimation of signal parameter via rotational invariance techniques. -
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