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Since Multiple Input Multiple Output (MIMO) transmission has become more and more popular for current and future mobile communication systems, MIMO detection is a big issue. Linear detection algorithms are less complex and well understood but their BER performance is limited. ML detectors achieve the optimum result but have exponential computational complexity. Hence, iterative tree-search algorithms...
Use of multiple antennas at the transmitter and receiver can increase wireless communication system capacity enormously. Maximum likelihood detection (MLD) algorithm provides the best bit error rate (BER) performance for multiple-input multiple-output (MIMO) system. However, the computational complexity of ML detection algorithm grows exponentially with the number of transmit antennas, which results...
In this paper, a low-complexity soft-output QRD-M detection algorithm is proposed for high-throughput multiple-input multiple-output (MIMO) systems. By employing novel expansion on demand and distributed sorting scheme, the proposed algorithm can reduce 70% and 85% foundational operations for 16-QAM and 64-QAM respectively compared to the conventional QRD-M algorithm. Furthermore, the proposed algorithm...
This paper presents an efficient and practicable MIMO transceiver in which transmitter antenna selection is applied to minimum mean-squared-error V-BLAST (MMSE V-BLAST) detector and GMD precoding through limited feedback channel. The method compensates the deficiency of the GMD algorithm under ill-conditioned channel and improves the BER performance further. For over 4 times 5 antenna selection, the...
In this paper, a box-constrained MIMO detector is considered that allows simple FPGA implementation and provides improvement in the detection performance compared to the MMSE detector. The box-constrained detector is implemented using dichotomous coordinate descent iterations. We investigate the design throughput against the BER performance and the design complexity in terms of the number of logic...
In this paper, we address the estimation of carrier frequency offset (CFO) in orthogonal frequency division multiplexing (OFDM) based multiple input multiple output (MIMO) communication systems. One of the novelties of the proposed approach is the judicious combination of two methods so as to reduce the bandwidth overhead and computational complexity without compromising the CFO estimation range....
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