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4 results on '"Prayuth Inban"'

1. Phase Error Criterion Based Adaptive Algorithm for Frequency Estimation

Author

Prayuth Inban, Rachu Punchalard, and Chawalit Benjangkaprasert

Subjects
Electrical engineering. Electronics. Nuclear engineering, TK1-9971, Cellular telephone services industry. Wireless telephone industry, HE9713-9715
Abstract

A simple phase error criterion (PEC-)-based adaptive algorithm for estimating the frequency of a complex sinusoidal signal in additive white Gaussian and impulsive noises is proposed. The proposed technique makes use of the instantaneous phase response of a first-order complex linear predictor (CLP) as a driving function to update the frequency parameter of the CLP. The proposed PEC is attractive due to its simplicity and high impulsive noise robustness. Theoretical analysis for the mean value of the estimated frequency and the steady-state mean square error (MSE) of the frequency estimate are derived in closed forms. Computer simulations are drawn to show the performance of the proposed frequency estimator.

Published
2024
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3. Frequency Estimation Based on Linear Predictor using Unbiased WLS Algorithm

Author

Rachu Punchalard, Prayuth Inban, Surapong Keanmanee, and Wuthiporn Loedwassana

Subjects
Adaptive filter, Noise, Prediction algorithms, Adaptive algorithm, Linear programming, Computer science, Estimator, Linear prediction, Algorithm, Single tone
Abstract

An unbiased weighted least square (UWLS) adaptive algorithm is developed and proposed to cooperate with a second-order linear predictor to estimate the frequency of a single tone embed in noise. A new objective function and updating equations are introduced to improve the performance of previous WLS algorithm. Extensive simulations are drawn to verify the performance of the proposed estimator.

Published
2021

4. An Adaptive Noise Cancellation Based for a BFSK Demodulation in a Narrow Band Communication

Author

Rachu Punchalard, Wuthiporn Loedwassana, and Prayuth Inban

Subjects
010302 applied physics, Frequency-shift keying, Adaptive algorithm, Computer science, 020208 electrical & electronic engineering, Data_CODINGANDINFORMATIONTHEORY, 02 engineering and technology, 01 natural sciences, Signal, Adaptive filter, symbols.namesake, Additive white Gaussian noise, 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, symbols, Electronic engineering, Demodulation, Active noise control, Phase-shift keying
Abstract

Another scheme of a binary frequency phase shift keying (BFSK) signal demodulation has been presented in this paper. The proposed demodulated scheme utilizes an ANC-based adaptive signal processing. The adaptive algorithm which adapts the coefficients of the ANC system will be constrained in adaptation sequence corresponding to each symbol interval of the received BFSK signal. By using this scheme, the system will provide demodulated behavior similar to an integrated and dump correlator of an optimum receiver. The analytical and simulation results have shown that the proposed system can demodulate the received BFSK signal in AWGN channel. Furthermore, the system provides the same performance as the optimum receiver.

Published
2021

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