Title :
Bit error performance of convolutional coded MIMO system with linear MMSE receiver
Author :
Kim, Namshik ; Park, Hyuncheol
Author_Institution :
Dept. of Inf. & Commun. Eng., Korea Adv. Inst. of Sci. & Technol. (KAIST), Daejeon, South Korea
fDate :
7/1/2009 12:00:00 AM
Abstract :
In this letter, we introduce an analytical expression to the coded bit error rate (BER) of a MIMO system with a linear minimum mean square error (MMSE) receiver. We derive the moment generating function (MGF) of the SINR for arbitrary antenna configurations from the cumulative density function of SINR.We show that the moment generating function of the SINR at the MMSE detector output can be used to estimate the BER performance of a coded MIMO system. The analysis is simple and gives an accurate BER estimation at a high SNR. Based on the analytical and simulated results, the diversity order is dependent on the antenna configuration and the free distance of the convolutional code. Finally, we compare the analytical expression with simulated results for validation.
Keywords :
MIMO communication; antennas; convolutional codes; diversity reception; error statistics; least mean squares methods; radio receivers; analytical expression; arbitrary antenna configurations; coded bit error rate; convolutional coded MIMO system; cumulative density function; diversity order; linear minimum mean square error receiver; moment generating function; signal-to-interference-and-noise ratio; Bit error rate; Convolutional codes; Density functional theory; Detectors; MIMO; Mean square error methods; Receiving antennas; Samarium; Signal to noise ratio; Transmitting antennas; Multiple-input multiple-output (MIMO), minimum mean square error (MMSE), bit error rate (BER), signal-tointerference-and-noise ratio (SINR), moment generating function (MGF).;
Journal_Title :
Wireless Communications, IEEE Transactions on
DOI :
10.1109/TWC.2009.080938
