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一種基于周期平穩(wěn)的魯棒盲神經(jīng)網(wǎng)絡波束形成器

何振亞,  陳宇欣

何振亞, 陳宇欣. 一種基于周期平穩(wěn)的魯棒盲神經(jīng)網(wǎng)絡波束形成器[J]. 電子與信息學報, 2000, 22(2): 240-246.
引用本文: 何振亞, 陳宇欣. 一種基于周期平穩(wěn)的魯棒盲神經(jīng)網(wǎng)絡波束形成器[J]. 電子與信息學報, 2000, 22(2): 240-246.
He Zhenya, Chen Yuxin. ROBUST BLIND NEURAL NETWORK BEAMFORMER BASED ON CYCLOSTATIONARY[J]. Journal of Electronics & Information Technology, 2000, 22(2): 240-246.
Citation: He Zhenya, Chen Yuxin. ROBUST BLIND NEURAL NETWORK BEAMFORMER BASED ON CYCLOSTATIONARY[J]. Journal of Electronics & Information Technology, 2000, 22(2): 240-246.

一種基于周期平穩(wěn)的魯棒盲神經(jīng)網(wǎng)絡波束形成器

ROBUST BLIND NEURAL NETWORK BEAMFORMER BASED ON CYCLOSTATIONARY

  • 摘要: 本文提出了一種魯棒的盲神經(jīng)網(wǎng)絡波束形成算法。該算法利用信號的周期平穩(wěn)特性估計陣列的導引矢量,利用LCMV方法抑制噪聲干擾,利用對角加載技術增強算法的魯棒性,利用神經(jīng)網(wǎng)絡的網(wǎng)狀計算結(jié)構(gòu)特點便于其實現(xiàn)。理論分析和計算機仿真表明,該算法實現(xiàn)簡單,魯棒性強,易于實時應用。
    Abstract: A new blind beamformer with improved Hopfield network is presented in this paper. To estimate the steering vector, the signal property of cyclostationary is used. To suppress interference, traditional LCMV beamforming is employed. To improve the robustness, diagonal loading technique is exploited. To turn into realization in real time, a neural network structure is given. Simulations demonstrate the excellent performance of the proposed approach in a wide variety of situations.
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  • Gooch R.[J].Lundell J. The CM array: An adaptive beamformer for constant modulus signal.ICASSP86, Japan.1986,:-[2]Dogan M C, Mendel J M. Cumulant-based blind optimum beamforming. IEEE Trans on AES,1994, AES-30(3): 722-740.[3]Agee B G, Schell S V, Gardner W A. Spectral self-coherence restoral: A new approach to blind adaptive signal extraction using antenna arrays[J].Proc. IEEE.1990, 78(4):753-767[4]Wu Q, Wong K M. Blind adaptive beamforming for cyclostationary signals. IEEE Trans. on SP,1996, SP-44(11): 2757-2767.[5]Burns Paul, Ding Zhi.Robustification of cyclostationary array processing techniques[J].ICASSP95, Michigan, USA.1995, 5:51589-1592[6]Castedo L, Figueiras-Vidal A R. An adaptive beamforming technique based on cyclostationary signal properties. IEEE Trans. on SP, 1995, SP-43(7): 1637-1650.[7]Biedka Thomas E. A method for reducing computations in cyclostationarity-exploiting beamforming[J].ICASSP95. Michigan, USA.1995, 5:1828-1831[8]Gardner W A. Statistical Spectral Analysis: A Nonprobabilistic Theory. Englewood Cliffs, NJ:Prentice-Hall, 1987.[9]Cox H, Zeskind R M, Owen M M. Effects of amplitude and phase errors on linear predictive array processors. IEEE Trans. on ASSP, 1988, ASSP-36(1): 10-19.[10]Tank D W, Hopficld J J. Simple neural optimization networks: An A/D converter, signal decision circuit, and a linear programming circuit. IEEE Trans. on CAS, 1986, CAS-33(5):533-541.[11]Cox H, Zeskind R M, Owen M M. Robust adaptive beamforming. IEEE Trans. on ASSP, 1987,ASSP-35(10): 1365-1375.
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  • 文章訪問數(shù):  1906
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出版歷程
  • 收稿日期:  1998-06-22
  • 修回日期:  1999-04-22
  • 刊出日期:  2000-03-19

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