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In this paper, novel equalization algorithms for continuous phase modulations (CPMs) are illustrated. Both conventional (linear and decision-feedback) and turbo equalization techniques are derived using the Laurent decomposition of CPM signals. All of them operate in the frequency domain and process two samples of the received signal per channel symbol. Numerical results show that on one hand, conventional equalization strategies offer good performance for binary partial response signaling over severely frequency-selective wireless channels at a moderate complexity. On the other hand, there is evidence that turbo techniques provide a small energy saving at the price of a substantial computational burden. [ABSTRACT FROM AUTHOR]

Focuses on a study that examined the differential detection of phase-shift keying (PSK) signals transmitted over frequency-flat fading channels using linearity time-varying fading models. Mathematical model used for the fading process and the notation of signal models; Differential detection of PSK signals; Computation of the bit error rate of the double-filter detector; Simulation results.

Investigates noncoherent detection of frequency-shift keying (FSK) signals transmitted over frequency-flat fading channels using a linearly time-varying fading models. Description of mathematical model of the fading process; Basic notations for FSK signals; Method for computing the error probability of a conventional FSK noncoherent detector in fast fading.

Discusses the use of a per-survivor phase-tracking algorithm for phase-shift-keyed signals transmitted over channels with phase jitter. Description of the received signal model; Phase-estimation in per-survivor processing receivers; Information on an expectation maximization-based phase estimator.