Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Maple Computer Manual for Advanced Engineering Mathematics
Maple Computer Manual for Advanced Engineering Mathematics
Cognitive PHY and MAC layers for dynamic spectrum access and sharing of TV bands
TAPAS '06 Proceedings of the first international workshop on Technology and policy for accessing spectrum
Cognitive radio: brain-empowered wireless communications
IEEE Journal on Selected Areas in Communications
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The majority of prior work in signal-tonoise ratio estimation makes fairly strong assumptions concerning a priori knowledge of the channel state and signal. For instance, many of these estimators assume knowledge of the modulation scheme of the signal, or even complete knowledge of the transmitted set of modulated data symbols (typically through the use of training sequences). Even more universally, perfect time synchronization between the transmitter and receiver is assumed. The purpose of this paper is to remove some of these commonly stated assumptions through the presentation of a novel asynchronous, noncoherent, and non-data-aided method-of-moments based signal-to-noise ratio estimator for PSK/QAM modulated signals in flat-fading channels. This estimator requires no a priori knowledge of the channel gain, phase, and delay, nor the specific modulation scheme (PSK or QAM) and modulation order used.