Title :
MIMO detection employing Markov Chain Monte Carlo
Author :
Sundaram, V. ; Murthy, K.P.N.
Author_Institution :
Dept. Electr. Eng., Univ. of Notre Dame, Notre Dame, IN
Abstract :
We propose a soft-output detection scheme for multiple-input-multiple-output (MIMO) systems. The detector employs Markov chain Monte Carlo method to compute bit reliabilities from the signals received and is thus suited for coded MIMO systems. It offers a good trade-off between achievable performance and algorithmic complexity.
Keywords :
MIMO communication; Markov processes; Monte Carlo methods; antenna arrays; channel capacity; channel coding; computational complexity; random processes; signal detection; MIMO detection; Markov chain Monte Carlo method; channel capacity; coded MIMO system; computational complexity; multiple antenna; multiple-input-multiple-output system; random walk Metropolis algorithm; signal receiver; soft-output detection scheme; Channel capacity; Detectors; MIMO; Monte Carlo methods; Multidimensional systems; Physics; Probability distribution; Receiving antennas; Transmitting antennas; Wireless LAN;
Conference_Titel :
TENCON 2008 - 2008 IEEE Region 10 Conference
Conference_Location :
Hyderabad
Print_ISBN :
978-1-4244-2408-5
Electronic_ISBN :
978-1-4244-2409-2
DOI :
10.1109/TENCON.2008.4766505
