Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/13708
Title: Simulation study of frequency estimators
Authors: WU QIONG
Keywords: Kalman fitler, Frequency, Estimation, Synchronization, Fading channel, Additive white Gaussian noise channel
Issue Date: 14-Jan-2004
Source: WU QIONG (2004-01-14). Simulation study of frequency estimators. ScholarBank@NUS Repository.
Abstract: We develop a frequency estimator employing Kalman filter algorithm for rapid online frequency estimation in both additive white Gaussian noise channel and static fading channel. A new measurement model is proposed, which can describe the phase noise more accurately, thus improves the performance by 4 dB in the initial acquisition stage. Simulations show that the proposed estimator is unbiased and efficient. The proposed frequency estimator can incorporate extra a priori information, thus provides superior performance compared to some Maximum Likelihood estimators available. In the static fading channel, diversity technique can be easily incorporated to improve the performance of the proposed frequency estimator.
URI: http://scholarbank.nus.edu.sg/handle/10635/13708
Appears in Collections:Master's Theses (Open)

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WuQ-00-Misc.pdf107.09 kBAdobe PDF

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WuQ-01-Intro.pdf105.88 kBAdobe PDF

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WuQ-02-Signal.pdf188.25 kBAdobe PDF

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WuQ-03-Kalman.pdf136.61 kBAdobe PDF

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WuQ-04-Perf.pdf1.87 MBAdobe PDF

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WuQ-05-Perf.pdf666.59 kBAdobe PDF

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WuQ-06-Perf.pdf525.46 kBAdobe PDF

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WuQ-07-Conclu.pdf73.35 kBAdobe PDF

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WuQ-08-Biblio.pdf77.18 kBAdobe PDF

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