TY - GEN

T1 - Performance analysis of maximum likelihood detection for MIMO systems

AU - Shin, Myeongcheol

AU - Kwon, Dong Seung

AU - Lee, Chungyong

PY - 2006

Y1 - 2006

N2 - The performance of ML detection for the given channel is analyzed in spatially multiplexed MIMO system. In order to obtain the vector symbol error rate, we define error vectors which represent the geometrical relation between lattice points. The properties of error vectors are analyzed to show that all lattice points in an infinite lattice almost surely have four nearest neighbors after random channel transformation. Using this information and the minimum distance obtained by the modified sphere decoding algorithm, we formulate the analytical performance of vector symbol error rate(VSER) over the given channel. To verify the results, we simulate ML performance over the various random channels which are classified into three categories: unitary channel, dense channel, and sparse channel. From the simulation results, it is verified that the derived analytical result gives a good approximation for the performance of ML detector over all random MIMO channels.

AB - The performance of ML detection for the given channel is analyzed in spatially multiplexed MIMO system. In order to obtain the vector symbol error rate, we define error vectors which represent the geometrical relation between lattice points. The properties of error vectors are analyzed to show that all lattice points in an infinite lattice almost surely have four nearest neighbors after random channel transformation. Using this information and the minimum distance obtained by the modified sphere decoding algorithm, we formulate the analytical performance of vector symbol error rate(VSER) over the given channel. To verify the results, we simulate ML performance over the various random channels which are classified into three categories: unitary channel, dense channel, and sparse channel. From the simulation results, it is verified that the derived analytical result gives a good approximation for the performance of ML detector over all random MIMO channels.

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M3 - Conference contribution

AN - SCOPUS:34047171981

SN - 0780393929

SN - 9780780393929

T3 - IEEE Vehicular Technology Conference

SP - 2154

EP - 2158

BT - 2006 IEEE 63rd Vehicular Technology Conference, VTC 2006-Spring - Proceedings

T2 - 2006 IEEE 63rd Vehicular Technology Conference, VTC 2006-Spring

Y2 - 7 May 2006 through 10 July 2006

ER -