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  C. KOMNINAKIS AND R. D. WESEL: JOINT ITERATIVE CHANNEL ESTIMATION AND DECODING IN FLAT CORRELATED RAYLEIGH FADING 1 Joint Iterative Channel Estimation and Decoding in Flat Correlated Rayleigh Fading

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by Christos Komninakis, Richard D. Wesel
http://www.ee.ucla.edu/~wesel/documents/JSAC/subm1a.pdf
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Abstract:

Abstract — This paper addresses the design and performance evaluation with respect to capacity of M-PSK turbo-coded systems operating in frequency-flat, time-selective Rayleigh fading. The receiver jointly performs channel estimation and turbo decoding, allowing the two processes to benefit from each other. To this end, we introduce a suitable Markov model with a finite number of states, designed to approximate both the values and the statistical properties of the correlated flat fading channel phase, which poses a more severe challenge to PSK transmission than amplitude fading. Then, the Forward-Backward algorithm determines both the maximum a posteriori probability (MAP) value for each symbol in the data sequence, and the MAP channel phase in each iteration. Simulations show good performance in standard correlated Rayleigh fading channels. A sequence of progressively tighter upper bounds to the capacity of a simplified Markovphase channel is derived, and performance of a turbo-code with joint iterative channel estimation and decoding is demonstrated to approach these capacity bounds. Keywords — Turbo-codes, flat Rayleigh fading, capacity, Markov channels I.

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