一種適用于任意峰度非高斯信號(hào)的多目標(biāo)盲波束形成方法
A New Blind Beamforming for Non-Gaussian Signals with Arbitrary Kurtosis
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摘要: 該文提出了一種新的適用于任意峰度非高斯信號(hào)的多目標(biāo)盲波束形成算法。該方法在最大峰度算法(KMA)的基礎(chǔ)上，引入信號(hào)的互相關(guān)約束定義了一種新的代價(jià)函數(shù)。通過(guò)對(duì)該代價(jià)函數(shù)的最大化，來(lái)盲估計(jì)波束形成器的權(quán)向量，從而完成對(duì)多目標(biāo)的分離和定向。由于波束形成過(guò)程不需要正交化處理，避免了波束形成器鎖定噪聲的可能性。同時(shí)，采用一種復(fù)數(shù)編碼的遺傳算法來(lái)求解權(quán)向量，不但可避免陷入局部極值的可能性，而且還能有效提高運(yùn)行速度。仿真實(shí)驗(yàn)驗(yàn)證了該算法的有效性和正確性。
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關(guān)鍵詞:
- 非高斯信號(hào); 最大峰度算法; 遺傳算法; 多目標(biāo); 盲波束形成
Abstract: A new blind beamforming algorithm for non-Gaussian signals with arbitrary kurtosis is presented in this paper. Based on Kurtosis Maximization Algorithm (KMA), a new cost function is defined by introducing the cross-correlation of two signals. This method can estimate the weights of beamformers blindly by maximizing the new cost function, so as to separate the multitargets and find the direction. At the same time, a Genetic Algorithm (GA) with complex encoding is used to compute the weight vectors, which not only avoids the local extremum but also improves the computing speed. Simulation proves correctness of this algorithm. -
Wu Q, Wong K M. Blind adaptive beamforming forcyclostationary signals[J].IEEE Trans. on SP.1996, 44(11):2768-2779[2]Dogan M C, Mendel J M. Cumulant-based blind optimumbeamforming．IEEE Trans. on AES, 1994, 30(3): 722-741．[3]Agee B G. Blind separation and capture of communication signalsusing a multitarget constant modulus beamformers. Proc. IEEEMilitary Commun. Conf., Boston, 1989, 10: 19.2.1-19.2.7.[4]Ding Z, Tuan Nguyen. Stationary points of a kurtosismaximization algorithm for blind signal separation and antennabeamforming[J].IEEE Trans. on SP.2000, 48(6):1587-1596[5]李洪升, 趙俊渭, 陳華偉. 一種新的多目標(biāo)盲波束形成方法研究[J].電子與信息學(xué)報(bào).2003, 25(9):1180-1186瀏覽 -
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