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非高斯ARMA噪聲中諧波恢復(fù)的雜交ESPRIT方法

梁應(yīng)敞,  戴逸松,  王樹勛

梁應(yīng)敞, 戴逸松, 王樹勛. 非高斯ARMA噪聲中諧波恢復(fù)的雜交ESPRIT方法[J]. 電子與信息學(xué)報(bào), 1994, 16(6): 561-568.
引用本文: 梁應(yīng)敞, 戴逸松, 王樹勛. 非高斯ARMA噪聲中諧波恢復(fù)的雜交ESPRIT方法[J]. 電子與信息學(xué)報(bào), 1994, 16(6): 561-568.
Liang Yingchang, Dai Yisong, Wang Shuxun. THE HYBRID ESPRIT APPROACH TO HARMONIC RETRIEVAL IN NON-GAUSSIAN ARMA NOISE[J]. Journal of Electronics & Information Technology, 1994, 16(6): 561-568.
Citation: Liang Yingchang, Dai Yisong, Wang Shuxun. THE HYBRID ESPRIT APPROACH TO HARMONIC RETRIEVAL IN NON-GAUSSIAN ARMA NOISE[J]. Journal of Electronics & Information Technology, 1994, 16(6): 561-568.

非高斯ARMA噪聲中諧波恢復(fù)的雜交ESPRIT方法

THE HYBRID ESPRIT APPROACH TO HARMONIC RETRIEVAL IN NON-GAUSSIAN ARMA NOISE

  • 摘要: 本文研究非高斯ARMA噪聲中的諧波恢復(fù)問題,提出了一種基于二階和三階統(tǒng)計(jì)量的雜交ESPRIT方法,該方法先估計(jì)噪聲過程的AR部分參數(shù),然后對(duì)觀測(cè)值進(jìn)行預(yù)濾波,最后估計(jì)諧波信號(hào)參量。模擬實(shí)驗(yàn)還驗(yàn)證了該方法的有效性和高分辨率。
    Abstract: This paper addresses the harmonic retrieval problem in non-Gaussian ARMA noise. A hybrid ESPRIT approach using second- and third-order statistics is proposed. First, third-order statistics are used to identify the AR part of the non-Gaussian noise process, then the noisy measurements are filtered by AR polynomial, finally, the harmonic signal parameters are estimated. Simulation examples show the effectiveness and high resolution of the new approach.
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  • Schmidt R O. IEEE Trans. on AP, 1986, AP-34(3): 276-280.[2]Roy R. Paulraj A, Kailath T. IEEE Trans. on ASSP, 1986, ASSP-34(3): 1340-1342.[3]Kay S M, Marple S L. IEEE Proc., 1981, 69(11): 1380-1419.[4]Cadzow J A. IEEE Proc., 1982, 70(9): 907-939.[5]Kumacesan R. Tufts D W. IEEE Trans. on ASSP, 1982, ASSP-30(6): 833-840.[6]Bresler Y. Macovski A. IEEE Trans. on ASSP, 1986, ASSP-34(4): 1081-1089.[7][8][8]Dragoseve M V, Stankovie S.S. IEEE Trans. on ASSP, 1989, ASSP-37(6): 805-819.[9]Matausek M R, Stankovie S S, Radovic D V. IEEE Trans. on ASSP, 1983, ASSP-31(6):1456-1463.[10]Sherman P J, Frazho A E. High Resolution Spectral Estimation of Sinuaoids in Colored Noise Using a Modified Pisarenko Decomposition, Proc. ICASSP-86, Tokyo, Japan, 1986, 181-184.[11]Chatterjec C. Kashyap R L, Boray G. IEEE Trans. on ASSP, 1987, ASSP-35(3): 328-337.[12]Swami A, Mendel J M. IEEE Trans. on SP, 1991, SP-39(5): 1099-1109.[13]梁應(yīng)敞,王樹勛,戴逸松.電子學(xué)報(bào),1994,22(4): 6-12.[14]Wegman E J, Schwartz S C, Thomas J B. Eds, Topics in Non-Gaussian Signal Processing. New York: Springer-Verlag, 1989.[15]Kassam S A. Signal Detection in Non-Gaussian Noise. New York: Springer-Verlag, 1988.[16]Giannakla G B, Mendel J M. IEEE Trans. on ASSP, 1990, ASSP-38(8): 1411-1422.[17]Swami A, Mendel J M. IEEE Trans. on AC, 1992, AC-37(2):268-273.
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出版歷程
  • 收稿日期:  1993-06-23
  • 修回日期:  1993-12-18
  • 刊出日期:  1994-11-19

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