MAP Decoding of Quantized Sources Over Soft-Decision Fading Channels With Memory

Provided by: Queens Presbyterian Church
Topic: Mobility
Format: PDF
The authors study a joint source-channel decoding scheme that exploits the channel's statistical memory and soft-decision information in fading channels. The channel considered is a recently introduced binary input 2q-ary output channel with Markovian ergodic noise based on a finite queue (called NBNDCQB). This model has been shown to effectively represent soft-decision demodulated correlated Rayleigh fading channels. The coding scheme consists of a scalar quantizer, a proper index assignment, and a sequence Maximum A Posteriori (MAP) decoder designed to harness the redundancy left in the quantizer's indices, the channel's soft-decision output, and correlation in the channel noise process.

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