Abstract: Noise in a communication channel is estimated by, in the absence of transmitted information packets, obtaining a plurality of sets of signal samples, and estimating noise power levels associated with the sets of signal samples and allotted to respective noise power classes. In the presence of at least one transmitted information packet, an information packet power level is estimated. A set of signal-to-noise ratios computed between the information packet power level and the noise power levels in the respective noise power classes are compared against a signal-to-noise threshold and partitioned into a first subset and a second subset of signal-to-noise ratios failing to exceed/exceeding, respectively, the threshold. One or more resulting impulsive noise parameters are computed as a function of impulsive noise parameters indicative of noise power levels in the signal-to-noise ratios in the first subset while disregarding impulsive noise parameters indicative of noise power levels in the second subset.

Abstract: Noise in a communication channel is estimated by, in the absence of transmitted information packets, obtaining a plurality of sets of signal samples, and estimating noise power levels associated with the sets of signal samples and allotted to respective noise power classes. In the presence of at least one transmitted information packet, an information packet power level is estimated. A set of signal-to-noise ratios computed between the information packet power level and the noise power levels in the respective noise power classes are compared against a signal-to-noise threshold and partitioned into a first subset and a second subset of signal-to-noise ratios failing to exceed/exceeding, respectively, the threshold. One or more resulting impulsive noise parameters are computed as a function of impulsive noise parameters indicative of noise power levels in the signal-to-noise ratios in the first subset while disregarding impulsive noise parameters indicative of noise power levels in the second subset.

Abstract: The recognition of a frame synchronization pattern or unique word of a received signal may be enhanced using a data-aided estimator of the signal-to-noise ratio (SNR) together with a correlation detector of the unique word to be received. Detecting a frame synchronization pattern or a unique word in a received signal, the SNR is estimated on the received signal with a data-aided SNR estimator using the unique word to be received. If the estimated SNR exceeds a certain threshold, an eventual recognition of the unique word established by a correlation correlator of the receiver is considered reliable. Comparing the SNR with the threshold may be carried out either before or after the correlator has processed the unique word.

Abstract: An OFDM receiver includes a sampling circuit configured to sample an incoming signal received through a transmission channel and an estimation circuit configured to receive samples of the incoming signal and to estimate transmission channel response and eventual differences of synchronization offsets introduced at a receiver side. An equalizer may be coupled to the estimation circuit and configured to compensate an effect of the transmission channel response and of the differences of synchronization offsets on the received samples and to generate equalized samples. An OFDM detector may be configured to generate a stream of demodulated digital symbols based upon the equalized samples.

Abstract: An OFDM receiver includes a sampling circuit configured to sample an incoming signal received through a transmission channel and an estimation circuit configured to receive samples of the incoming signal and to estimate transmission channel response and eventual differences of synchronization offsets introduced at a receiver side. An equalizer may be coupled to the estimation circuit and configured to compensate an effect of the transmission channel response and of the differences of synchronization offsets on the received samples and to generate equalized samples. An OFDM detector may be configured to generate a stream of demodulated digital symbols based upon the equalized samples.

Abstract: The recognition of a frame synchronization pattern or unique word of a received signal may be enhanced using a data-aided estimator of the signal-to-noise ratio (SNR) together with a correlation detector of the unique word to be received. Detecting a frame synchronization pattern or a unique word in a received signal, the SNR is estimated on the received signal with a data-aided SNR estimator using the unique word to be received. If the estimated SNR exceeds a certain threshold, an eventual recognition of the unique word established by a correlation correlator of the receiver is considered reliable. Comparing the SNR with the threshold may be carried out either before or after the correlator has processed the unique word.