基于四階累積量特征分解的空間譜估計測向方法
THE FOURTH-ORDER CUMULANTS BASED SPECTRAL ESTIMATION METHOD AND ITS APPLICATION TO DIRECTION-FINDING
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摘要: 傳統(tǒng)的空間譜估計測向方法大都是在二階統(tǒng)計基礎上提出的。而高階累積量(cumulant)及其對應的高階譜具有更加豐富的信息,而且對任何譜特性的高斯噪聲都有很好的抑制能力。本文研究了基于四階累積量特征結構分析的譜估計測向方法。從累積量的基本定義和性質出發(fā),導出了基于特征分解的測向算法,并給出了模擬實驗和測向系統(tǒng)外場實驗結果。實驗結果顯示,基于四階累積量方法的性能優(yōu)于傳統(tǒng)譜估計測向方法,特別是對于未知譜特性的色高斯噪聲的情況。
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關鍵詞:
- 測向; 空間譜; 高階累積量; 商階譜
Abstract: Traditional approaches of spatial spectral estimation are usually based on the second-order statistics. The higher-order cumulants and the poly-spectrum have more information and are capable to reduce the Gaussian noises. In this paper, a kind of spectrum estimation method for direction-finding is presented based on the eigen-structure analysis of the fourth-order cumulants. The algorithm is derived and its performance is illustrated by both the computer simulations and the experiments of the direction-finding system. The obtained results demonstrate that the fourthorder cumumlant-based method outperforms the traditional direction-finding method, especially when the noise is unknown coloured one. -
Mendel J M. Proc[J].IEEE.1991, 79 (3):278-805[2]Pan P, Nikias C L. Harmonic decomposition methods in cumulant domains. Prot. Iat. Conf. ASSP. New York: April 1988, 2356-2359.[3]Swami A, Mendel J M. IEEE Trans. on SP, 1991, SP-39 (5): 1099-1109.[4]Porat B, Friendlander B. IEEE Trans. on SP, 1991, SP-39 (6): 2016-2024.[5]Schmidt R O. IEEE Trans. on AP, 1986, AP-34 (3): 276-280.[6]Brewer J W. IEEE Trans. on CAS, 1987, CAS-25 (9): 772-781. -
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