NDLI: Linear Approximation Signal Detection Scheme in MIMO-OFDM Systems

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Linear Approximation Signal Detection Scheme in MIMO-OFDM Systems

Content Provider	Semantic Scholar
Author	Ro, Jae-Hyun Kim, Jong-Kwang You, Young-Hwan Song, Hyoung-Kyu
Copyright Year	2018
Abstract	In this paper, a linearly approximate signal detection scheme is proposed in multiple input multiple output-orthogonal frequency division multiplexing (MIMO-OFDM) systems. The huge MIMO-OFDM system, which uses many transmit antennas and high order modulation, requires a detection scheme at the receiver with very low complexity for practical implementation. In the proposed detection scheme, one N × N MIMO-OFDM system is divided into N/2 2 × 2 MIMO-OFDM systems for linear increase of complexity. After the partial zero-forcing (ZF), decision feedback equalizer (DFE) and QR decomposition-M algorithm (QRD-M) are applied to each 2× 2 MIMO-OFDM system. Despite nonlinear detection schemes, the overall complexity of the proposed algorithm increases almost linearly because the DFE and the QRD-M are applied to 2× 2 MIMO-OFDM systems. Also, the value of M in the QRD-M is fixed according to position of the center point in constellation for efficient signal detection. In simulation results, the proposed detection scheme has higher error performance and lower complexity than the conventional ZF. Also, the proposed detection scheme has very lower complexity than the conventional DFE, with slight loss of error performance.
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://www.mdpi.com/2076-3417/8/1/49/pdf
Language	English
Access Restriction	Open
Subject Keyword	Approximation algorithm Arabic numeral 0 Detection theory Equalization (communications) Equalizer Device Component Frequency divider Linear approximation MIMO MIMO-OFDM Modulation Multiplexing Nonlinear system QR decomposition Signal Detection (Psychology) Simulation Stage level 1 Zermelo–Fraenkel set theory Zero-forcing precoding
Content Type	Text
Resource Type	Article

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