Joint Space-Time Algebraically-Interleaved Turbo-Like Coded Incoherent MIMO Systems With Optimal and Suboptimal MAP Probability Decoders

The outstanding coding gains and also the practical complexities of the turbo-coded communication systems, heavily depend on the iterative soft-decision decoding algorithm used for the soft-input/-output component decoders. The goal of this paper is to address the investigation on the energy gaps of the enhanced channel coding entity of [1], when original and also approximated logarithmic-based iterative MAP algorithms are employed for the iterative near maximum-likelihood (ML) decoding. As far as the large decoding delays of the turbo and turbo-like code structures constitute a major disadvantage for these types of channel-codes, the previously introduced high-performance channel-codes of [1] are developed for the original and also approximated iterative BCJR-MAP turbo decoders to enable the higher level of selection flexibility in error-rate versus computational complexity tradeoff. We examine the required energy per bit E-b and the noise power spectral density N-0 ratio to attain the BER approximate to 10(-4)-10(-5) for the differentially encoded phase-shift keying (D-PSK) MIMO Rayleigh fading channels.