Bayesian turbo multiuser detection for nonlinearly modulated CDMA
Signal Processing
On some detection and estimation problems in heavy-tailed noise
Signal Processing - Signal processing with heavy-tailed models
Time-frequency-based detection in impulsive noise environments using α-stable noise models
Signal Processing - Signal processing with heavy-tailed models
Predicting error floors of structured LDPC codes: deterministic bounds and estimates
IEEE Journal on Selected Areas in Communications - Special issue on capaciyy approaching codes
Adaptive Lp-norm diversity combining in non-Gaussian noise and interference
IEEE Transactions on Wireless Communications
Statistical modeling of co-channel interference
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Convolutionally coded transmission over Markov-Gaussian channels: analysis and decoding metrics
IEEE Transactions on Communications
Diversity combining over rayleigh fading channels with symmetric alpha-stable noise
IEEE Transactions on Wireless Communications
IEEE Transactions on Signal Processing
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Standard linear diversity combining techniques are not effective in combating fading in the presence of non-Gaussian noise. An adaptive spatial diversity receiver is developed for wireless communication channels with slow, flat fading and additive non-Gaussian noise. The noise is modeled as a mixture of Gaussian distributions and the expectation-maximization (EM) algorithm is used to derive estimates for the model parameters. The transmitted signals are detected using a likelihood ratio test based on the parameter estimates. The new adaptive receiver converges rapidly, its bit error rate performance is very close to optimum when relatively short training sequences are used, and it appears to be relatively insensitive to mismatch between the noise model and the actual noise distribution. Simulation results are included that illustrate various aspects of the adaptive receiver performance