Research on multiple classified signal detection algorithms based on mimo-ofdm system

OFDM is a high-speed signal transmission technology in wireless environment. In wireless channels, the frequency response curve is generally non-flat. MIMO technology can effectively increase system capacity, improve system performance, and improve network coverage and transmission reliability. OFDM...

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Bibliographic Details
Published in:Microprocessors and microsystems Vol. 81; p. 1
Main Authors: He, Yali, Liu, Yuchun, Guo, Yanhua, Zhang, Haihui
Format: Journal Article
Language:English
Published: Kidlington Elsevier BV 01.03.2021
Subjects:
Algorithms
Crosstalk
Field programmable gate arrays
Frequency response
High speed
Image processing
MIMO communication
Network reliability
Orthogonal Frequency Division Multiplexing
Signal classification
Signal detection
Signal transmission
Texture
ISSN:0141-9331
Online Access:Get full text
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Summary:OFDM is a high-speed signal transmission technology in wireless environment. In wireless channels, the frequency response curve is generally non-flat. MIMO technology can effectively increase system capacity, improve system performance, and improve network coverage and transmission reliability. OFDM technology can effectively resist intersymbol crosstalk caused by multipath propagation by adding a certain length of redundant guard interval in front of transmission symbols. According to the channel estimation and signal detection algorithms in MIMO-OFDM systems, this paper will choose a better algorithm to implement MIMO-OFDM systems and channel estimation and signal detection algorithms. Theoretical analysis and simulation results show that the optimal detection algorithm has the best performance, but its complexity is exponentially related to the number of antennas and modulation order. The architecture for dense texture analysis is developed based on Field Programmable Gate Array FPGA device which is a general engine for high-speed image processing. In order to maximize the performance, our architecture is designed for minimizing consumed resources. As explained in subsection our architecture is composed of two main operations, namely the AH based sum and difference of images and the calculus of texture features
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ISSN:0141-9331
DOI:10.1016/j.micpro.2020.103530