Maximum likelihood decoding rules for STBC generalized framework for detection and derivation of accurate upperbounds

In this paper we propose the new decoding rules for STBC (space-time block codes) using the maximum likelihood (ML) principles. Using algebraic tools we are able to derive a simple matrix model which is very easy to implement in the simulation. After giving our particular detection rules, we determi...

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Hauptverfasser:	Mohammad-Khani, G.R., Meghdadi, V., Cances, J.P., Azizi, L.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Applied sciences Base stations Bit error rate Block codes Coding, codes Exact sciences and technology Information, signal and communications theory Maximum likelihood decoding Maximum likelihood detection MIMO Random variables Receiving antennas Signal and communications theory Signal processing algorithms Telecommunications and information theory Transmitting antennas
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Beschreibung
Zusammenfassung:	In this paper we propose the new decoding rules for STBC (space-time block codes) using the maximum likelihood (ML) principles. Using algebraic tools we are able to derive a simple matrix model which is very easy to implement in the simulation. After giving our particular detection rules, we determine a new accurate upperbound for the BER performances of STBC transmitting schemes. Simulation results are given which show the accuracy of the derived upperbound.
DOI:	10.1109/ICC.2004.1312998