Low Complexity Signal Detection in MIMO Systems

Shafivulla, Sayyed and Patel, Aaqib Ashfaq and Khan, Mohammed Zafar Ali (2018) Low Complexity Signal Detection in MIMO Systems. In: IEEE 88th Vehicular Technology Conference (VTC-Fall), 27-30 Aug, 2018, Chicago, IL, USA, USA.

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Abstract

The Maximum Likelihood Detector (MLD) offers an optimal bit-error-ratio for an un-coded multiple-input-multiple-output (MIMO) communication system. The computational complexity, however, of MLD increases significantly for detection of higher order modulated signal streams with multiple transmit antennas. To reduce this complexity while simultaneously also achieving near optimal performance, we propose a novel technique that modifies the sub-optimal Zero Forcing Detector (ZFD) by using the minimum eigen vector of the matrix HHH , where H is the channel matrix and HH is its Hermitian. The performance in terms of BER and computational complexity of the proposed technique is compared to that of the MLD. Simuations show that the BER performance of the proposed technique is near optimal whereas the computational complexity is signiflcantly reduced.

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IITH Creators:	IITH Creators ORCiD Khan, Mohammed Zafar Ali UNSPECIFIED
Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Multiple-Input Multiple-Output (MIMO), Maximum Likelihood Detection(MLD), Zero-Forcing(ZF), Minimum Mean Square Error(MMSE), Eigen vector, Complexity
Subjects:	Electrical Engineering
Divisions:	Department of Electrical Engineering
Depositing User:	Team Library
Date Deposited:	22 Apr 2019 09:05
Last Modified:	22 Apr 2019 09:05
URI:	http://raiithold.iith.ac.in/id/eprint/4985
Publisher URL:	http://doi.org/10.1109/VTCFall.2018.8690912
Related URLs:	Google Scholar

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