On Four Suboptimal Quadratic Detectors for Random Signals(Fundamental Theories for Communications)
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概要
- 論文の詳細を見る
This paper tackles the problem of detecting a random signal embedded in additive white noise. Although the likelihood ratio test (LRT) is the well-known optimum detector for this problem, it may not be easily realized in applications such as radar, sonar, seismic, digital communications, speech analysis and automatic fault detection in machinery, for which suboptimal quadratic detectors have been extensively employed. In this paper, the relationships between four suboptimal quadratic detection schemes, namely, the energy, matched subspace, maximum deflection ratio as well as spectrum matching detectors, and the LRT are studied. In particular, we show that each of those suboptimal detectors can approach the optimal LRT under certain operating conditions. These results are verified via Monte Carlo simulations.
- 社団法人電子情報通信学会の論文
- 2005-12-01
著者
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So Hing
Department Of Computer Engineering And Information Technology City University Of Hong Kong
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Farina Alfonso
Chief Technical Office Selex Sistemi Integrati S.p.a.
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MA Wing
Department of Electrical Engineering and Institute of Communications Engineering, National Tsing Hua
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GINI Fulvio
Dipartimento di Ingegneria dell'Informazione, Universita di Pisa
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TSUI Wing
Department of Electronic Engineering, The Chinese University of Hong Kong
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Ma Wing
Department Of Electrical Engineering And Institute Of Communications Engineering National Tsing Hua
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Tsui Wing
Department Of Electronic Engineering The Chinese University Of Hong Kong
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Gini Fulvio
Dipartimento Di Ingegneria Dell'informazione Universita Di Pisa
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