一種基于高階累積量的信號(hào)頻率和到達(dá)角聯(lián)合估計(jì)算法
A NEW CUMULANTS-BASED ALGORITHM FOR ESTIMATION OF FREQUENCIES AND 2D-DOAS OF SPATIAL SIGNALS
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摘要: 該文研究了一種基于高階累積量的信號(hào)頻率和二維到達(dá)角聯(lián)合估計(jì)算法。在分析了數(shù)據(jù)模型和M.C.Dogan等人提出的算法VESPA之后,本文給出了PRO-ESPRIT方法求解的VESPA.這一方法繼承了高階累積量抑制色高斯噪聲的能力以及陣列虛擬擴(kuò)展能力,用M個(gè)陣元的陣列可以分辨M1個(gè)空間信號(hào),同時(shí)還可以實(shí)現(xiàn)信號(hào)頻率和到達(dá)角的聯(lián)合估計(jì)。數(shù)值仿真結(jié)果證實(shí)了算法的有效性。
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關(guān)鍵詞:
- 高階累積量; 聯(lián)合估計(jì); PRO-ESPRIT算法; VESPA
Abstract: In this paper,A new cumulants-based method for the joint estimations of frequencies and 2D-DOAs of spatial signals are dicussed. After analysing the model of data and the virtual-ESPRIT,the authors use PRO-ESPRIT to estimate the parameters of signals based on VESPA.This method utilized the capability of cumulant of aperture extension and insensitivity to additive colored Gaussian noise.M-i signals can be processed by this method with M sensors without searching procedure. The simulations demonstrate the effectiveness of the method. -
R.Roy R,T.Kailath,ESPRIT-estimation of signal parameters via rotation invariance techniques,IEEE Trans.on ASSP,1989 37(7),1958-1965.[2]M.C.Dogan,J.M.Mendel,Applications of cumulants to array processing-part II,Non-Gaussian noise suppression,IEEE Trans.on SP,1995,SP-43(7),1663-1676.[3]M.C.Dogan,J.M.Mendel,Applications of cumulants to array processing-part I,Aperture extension and array calibration,IEEE Trans.on SP,1995,SP-43(5),1200-1216.[4]M.D.Zoltwski,D.Stavrinides,Sensor array signal processing via a Procrustes rotations basedeigenanalysis of the ESPRIT data pencil, IEEE Trans.on ASSP,1989,ASSP-37(6),832-861.[5]G.Xu G,S.D.Silverstein,R.H.Roy,T.Kailath, Beamspace ESPRIT,IEEE Trans.on SP,1994,SP-42(2),349-356.[6]M.D.Zoltwski,C.P.Mathews,Real-time frequency and 2-D angle estimation with sub-Nyquist spatio-temporal sampling,IEEE Trans.on SP,1994,SP-42(10),2781-2794. -
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