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Target Tracking Over Fading Channels

IEEE Transactions on Communications, 1976
The problem of tracking a target in a multitarget environment when the observations are received over a fading channel is considered. The optimal Bayes solution to the tracking problem in such cases involves growing memory and hence is not feasible.
F. S. Chang, Mandyam D. Srinath
openaire   +3 more sources

Distortion Exponent of MIMO Fading Channels

2006 IEEE Information Theory Workshop, 2006
In this paper, we consider transmission of a continuous amplitude source over a quasi-static MIMO Rayleigh fading channel. The performance metric is end-to-end distortion of the source caused both by the lossy compression and the channel errors. We are interested in the high SNR behavior expressed in the distortion exponent, which is the exponential ...
D. Gunduz, E. Erkip
openaire   +2 more sources

Adaptive coded modulation for fading channels

Proceedings of ICC'97 - International Conference on Communications, 1998
We propose a variable-power and variable-rate coded MQAM modulation technique for high-speed data transmission on fading channels. Coding gain is obtained by superimposing trellis codes designed for AWGN channels on the adaptive modulation, and we obtain the same coding gains as these codes exhibit in AWGN.
Andrea J. Goldsmith, Soon-Ghee Chua
openaire   +3 more sources

Fade Statistics in Composite Fading Channels

Journal of Electronics & Information Technology, 2011
Xiao-dong Wang   +2 more
openaire   +1 more source

Fading channels: information-theoretic and communications aspects

IEEE Transactions on Information Theory, 1998
Shlomo Shamai, J Proakis
exaly  

Estimate of channel capacity in Rayleigh fading environment

IEEE Transactions on Vehicular Technology, 1990
W C Y Lee
exaly  

Finite-state Markov modeling of fading channels - a survey of principles and applications

IEEE Signal Processing Magazine, 2008
Rodney Kennedy   +2 more
exaly  

Physical-Layer Security Over Non-Small-Scale Fading Channels

IEEE Transactions on Vehicular Technology, 2016
Yunfei Chen, Chaoqing Tang, Tingting Li
exaly  

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