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A New High-Resolution Frequency Estimator Based on Pole-Placement AR Model
Huadong MENG Xiqin WANG Hao ZHANG Yingning PENG
IEICE TRANSACTIONS on Communications
Publication Date: 2003/08/01
Print ISSN: 0916-8516
Type of Manuscript: LETTER
Category: Fundamental Theories
frequency estimation, pole placement, high resolution, least square algorithm,
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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.