A New High-Resolution Frequency Estimator Based on Pole-Placement AR Model(Fundamental Theories)
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概要
- 論文の詳細を見る
The high-resolution frequency estimators most commonly used, such as Least Square (LS) method based on AR model, MVSE, MUSIC and ESPRIT, determine estimates of the sinusoidal frequencies from the sample noise-corrupted data. In this paper, a new frequency estimation method named Pole-Placement Least Square (PPLS) is presented, which is a modified LS method with a certain number of model poles restricted to the unit circle. The statistical performance of PPLS is studied numerically, and compared with the Cramer-Rao bound as well as the statistical performance corresponding to the LS methods. PPLS is shown to have higher resolution than the conventional LS method. The relationship between poles location and its resolution is also discussed in detail.
- 社団法人電子情報通信学会の論文
- 2003-08-01
著者
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Zhang Hao
Department Of Anatomy Shimane Medical University
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PENG Yingning
Department of Electronic Engineering, Tsinghua University
-
Zhang Hao
Department Of Electronic Engineering Tsinghua University
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Wang Xiqin
Department Of Electronic Engineering Tsinghua University
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MENG Huadong
Department of Electronic Engineering, Tsinghua University
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Meng Huadong
Department Of Electronic Engineering Tsinghua University
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Peng Yingning
Department Of Electronic Engineering Tsinghua University
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