Robust Two-Dimensional Frequency Estimation by Using Higher Order Statistics
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概要
- 論文の詳細を見る
This paper describes a new high resolution algorithm for the two-dimensional(2-D)frequency estimation problem, which, in particular, is noise insensitive in view of the fact that in many practical applocations the contaminated noise may not be white noise. For thie purpose, the approach is set in the context of higher-order statistics(HOS), which has demonstrated to be an effective approach under a colored noise environment. The algorithm begins with the consideration of the fourth-order moments of the available 2-D data. Two auxiliary matrices, constituted by a novel stracking of the diagonal slice of the computed fourth-order moments, are then introduced and through which the two frequency components can be precisely determined, respectively, via matrix factorizations along with the subspace rotational invariance(SRI)technique. Simulation results are also provided to verify the proposed a algorithm.
- 社団法人電子情報通信学会の論文
- 1998-06-25
著者
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Fang W‐h
National Taiwan Univ. Sci. And Technol. Taipei Twn
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Fang Wen-hsien
The Department Of Electronic Engineering National Taiwan University Of Science And Technology
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Fang Wen-hsien
The Department Of Electonic Engineering National Taiwan University Of Science And Technology
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Chu Yi
The Department Of Electronic Engineering National Taiwan University Of Science And Technology
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CHANG Shun-Hsyung
the Department of Electrical Engineering, National Taiwan Ocean University
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Chang S‐h
The Department Of Electrical Engineering National Taiwan Ocean University
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Chang Shun-hsyung
The Department Of Electrical Engineering National Taiwan Ocean University
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