Phase-domain blind estimation of symbol duration based on Haar wavelet transform

A phase-domain blind estimator of symbol duration based on Haar wavelet transform（HWT） is proposed.It can estimate the symbol duration of phase modulated signals,such as M-ary phase-shift keying（MPSK） signals and polyphase coded signals.The closed form of the spectrum of HWT is derived.Theoretical a...

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Bibliographic Details
Published in:Journal of systems engineering and electronics 2010-06, Vol.21 (3), p.375-381
Main Authors: Deng, Zhenmiao, Liu, Yu
Format: Article
Language:English
Subjects:
Accuracy
Algorithms
Blinds
Carrier frequencies
Complexity
Computation
Computer simulation
Criteria
Estimates
Estimators
Exact solutions
Haar小波变换
Keying
Mathematical analysis
Optimization
Signal to noise ratio
Spectra
Symbols
Wavelet
Wavelet transforms
信号噪声比
多进制相移键控
实验室模拟
盲估计
调制信号
载波频率
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Summary:A phase-domain blind estimator of symbol duration based on Haar wavelet transform（HWT） is proposed.It can estimate the symbol duration of phase modulated signals,such as M-ary phase-shift keying（MPSK） signals and polyphase coded signals.The closed form of the spectrum of HWT is derived.Theoretical analysis shows the frequency of the first spectral peak is equal to the symbol rate,which is the reciprocal of symbol duration.Thus the symbol duration can be extracted from the spectrum.Subsequently,the optimum wavelet scale is determined according to the maximum output signal to noise ratio（OSNR） criterion.MAT-LAB simulations show that this algorithm can blindly estimate the symbol duration without any prior knowledge.This estimator need not estimate the carrier frequency and has the characteristics of low computation complexity and high accuracy.
ISSN:1004-4132
1004-4132
DOI:10.3969/j.issn.1004-4132.2010.03.005