Proceedings ArticleDOI
Symbol rate estimation by the wavelet transform
Yiu-Tong Chan,J.W. Plews,K.C. Ho +2 more
- Vol. 1, pp 177-180
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TLDR
In this article, the authors used wavelet transform to locate the transients produced from phase changes to estimate the symbol rate of an M-ary phase shift keying (PSK) signal.Abstract:
Demodulation of a digital modulated waveform requires the symbol rate of a received signal. This parameter may not be known a priori and may need to be estimated in the receiver. This paper studies the use of wavelet transform to estimate the symbol rate of an M-ary phase shift keying (PSK) signal. The idea is to use wavelet transform to locate the transients produced from phase changes. The separation between transients gives a symbol rate estimate. Previous work uses the transform coefficients in a single scale to estimate symbol rate. This paper improves the performance of the estimator by combining the coefficients at several scales before estimation. The accuracy of the estimator is shown to be within 3-6dB of the CRLB, when the sampling rate is four times the carrier frequency and the carrier-to-noise ratio is greater than 7 dB.read more
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Analog to Digital Cognitive Radio: Sampling, Detection and Hardware
TL;DR: In this article, the authors proposed to recover second-order statistics from the low rate samples, rather than the signal itself, to cope with low signal-to-noise ratios.
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Analog-to-Digital Cognitive Radio: Sampling, Detection, and Hardware
TL;DR: The radio spectrum is the radio-frequency portion of the electromagnetic spectrum, and most of the frequency bands are already allocated to one or more PUs, so new users cannot easily find free frequency bands.
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Modulation classification of communication signals
TL;DR: A novel algorithm using wavelet transform and pattern recognition to identify the modulation types of the communication signals automatically and is efficient at the SNR /spl les/ 15 dB.
Proceedings ArticleDOI
The improvement of symbol rate estimation by the wavelet transform
Xu Jun,Wang Fuping,Wang Zanji +2 more
TL;DR: An improved version of the symbol rate estimator by the wavelet transform using the WT magnitudes of the baseband modulated signal instead of those of the MF signals is proposed, which remarkably improves the anti-noise ability of the estimator.
Proceedings ArticleDOI
An automatic digital modulation classifier for measurement on telecommunication networks
TL;DR: In this paper, a method for automatic classification of digital modulations, without any knowledge of the signal parameters, is presented, which can recognize classical single-carrier modulations such as M-PSK (M-ary phase shift keying), M-FSK (m-ary frequency-shift keying) and M-QAM (mary quadrature amplitude modulation) used for ADSL and VDSL (very high speed DSL) standards.
References
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Journal ArticleDOI
Signal classification using statistical moments
Samir S. Soliman,S.-Z. Hsue +1 more
TL;DR: An automatic modulation classification algorithm utilizing the statistical moments of the signal phase is developed and used to classify the modulation type of general M-ary PSK signals and is compared with the quasi-log-likelihood radio, square-law, and phase-based classifiers.
Journal ArticleDOI
Likelihood methods for MPSK modulation classification
Chung-Yu Huan,A. Polydoros +1 more
TL;DR: The performance of a single-term approximation to the optimal LF classifier is evaluated analytically and is shown to be very close to that of the optimal.
Journal ArticleDOI
The use of the wavelet transform in the detection of an unknown transient signal
M. Frisch,Hagit Messer +1 more
TL;DR: It is shown that prior information regarding the relative bandwidth and the time-bandwidth-product of the signal to be detected is efficiently incorporated into the detection problem formulation, and the proposed detection scheme is most suitable for detection of unknown transient signals.
Proceedings Article
Estimation of carrier frequency, modulation type and bit rate of an unknown modulated signal.
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Automatic estimation of an input signal type.
Masafumi Hagiwara,Masao Nakagawa +1 more