Higher-Order Cyclostationarity Based Direction Estimation of Coherent Narrow-Band Signals(Special Section on Digital Signal Processing)
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概要
- 論文の詳細を見る
To improve the resolution capability of the directions-of-arrival (DOA) estimation, some subspace-based methods have recently been developed by exploiting the specific signal properties (e. g. non-Gaussian property and cyclostationarity) of communication signals. However, these methods perform poorly as the ordinary subspace-based methods in multipath propagation situations, which are often encountered in mobile communication systems because of various reflections. In this paper, we investigate the direction estimation of coherent signals by jointly utilizing the merits of higher-order statistis and cyclostationarity to enhance the performance of DOA estimation and to effectively reject interference and noise. For estimating the DOA of narrow-band coherent signals impinging on a uniform linear array, a new higher-order cyclostationarity based approach is proposed by incorporating a subarray scheme into a linear prediction technique. This method can improve the resolution capability and alleviate the difficulty of choosing the optimal lag parameter. It is shown numerically that the proposed method is superior to the conventional ones.
- 社団法人電子情報通信学会の論文
- 2000-08-25
著者
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佐野 明
天理よろづ相談所病院放射線部
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Sano A
Tokyo Univ. Sci. Chiba Jpn
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TSUJI Hiroyuki
Communications Research Laboratory, Independent Administrative Institution
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XIN Jingmin
YRP Mobile Telecomunications Key Technology Research Laboratories Co., Ltd.
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SANO Akira
the Department of System Design Engineering, Keio University
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Tsuji H
Department Of Information And Computer Sciences Kanagawa Institute Of Technology:graduate School Of
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Xin J
Yrp Mobile Telecommunications Key Technol. Res. Labs. Co. Ltd. Yokosuka‐shi Jpn
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Xin Jingmin
Yrp Mobile Telecommunications Key Technology Research Labs. Co. Ltd.:(present Address)mobile Communi
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Sano Akira
Tenri Hospital
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Tsuji Hiroyuki
Communications Research Laboratory Independent Administrative Institution
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