An Improved Symbol Detection Algorithm Based on Expectation-Maximum

2013 ◽  
pp. 467-476 ◽  
Author(s):  
Ge Wang ◽  
Hong-Yi Yu ◽  
Zhi-Xiang Shen
Keyword(s):  
Detection Algorithm ◽  
Symbol Detection

DESIGN AND IMPLEMENTATION OF SYMBOL DETECTOR FOR MIMO SPATIAL MULTIPLEXING SYSTEMS

2011 ◽  
Vol 20 (04) ◽  
pp. 727-739 ◽  
Author(s):  
YUNHO JUNG ◽  
SEONGJOO LEE ◽  
JAESEOK KIM
Keyword(s):  
Multiple Input Multiple Output ◽  
Detection Algorithm ◽  
Spatial Multiplexing ◽  
Error Performance ◽  
Cell Library ◽  
Design And Implementation ◽  
Symbol Detection ◽  
Input Multiple Output ◽  
Hardware Description ◽  
Hardware Costs

In this paper, we propose an efficient symbol detection algorithm for multiple-input multiple-output spatial multiplexing (MIMO-SM) systems and present its design and implementation results. By enhancing the error performance of the first detected symbol that causes error propagation, the proposed algorithm achieves a considerable performance gain compared with the conventional sorted QR decomposition (SQRD) based detection and the ordered successive detection (OSD) algorithms. The bit error rate (BER) performance of the proposed detection algorithm is evaluated by a simulation. In the case of a 16QAM MIMO-SM system with 4 transmit and 4 receive (4 × 4) antennas, at BER = 10-3 the proposed algorithm results in a gain improvement of about 2.5–13.5 dB over the previous algorithms. The proposed detection algorithm was designed in a hardware description language (HDL) and synthesized to gate-level circuits using 0.18 μm 1.8 V CMOS standard cell library. The results show that the proposed algorithm can be implemented without increasing the hardware costs significantly.

Hardware Efficient Modified K-Best Symbol Detection Algorithm for Wireless MIMO Systems

2016 ◽  
Vol 94 (4) ◽  
pp. 2633-2644 ◽  
Author(s):  
A. Shirly Edward ◽  
S. Malarvizhi
Keyword(s):  
Mimo Systems ◽  
Detection Algorithm ◽  
Symbol Detection

A Single Symbol Maximum-Likehood Decoder for Four Transimit Antenna QOSTBC

2013 ◽  
Vol 427-429 ◽  
pp. 1502-1505
Author(s):  
Nai Qian Zhang ◽  
Li Biao Jin ◽  
Guo Cheng Wu ◽  
Jie Cong Lin
Keyword(s):  
Block Code ◽  
Low Complexity ◽  
Detection Algorithm ◽  
Modulation Scheme ◽  
Time Block ◽  
Orthogonal Space ◽  
Symbol Detection ◽  
Single Complex ◽  
High Level ◽  
Ml Detection

This letter proposes a very low-complexity maximum likelihood (ML) detection algorithm for the quasi-orthogonal space-time block code (QOSTBC) with four transmits antennas. The low-complexity single-complex-symbol detection is based on QR decomposition and the expansion of equalization via a diagonal matrix transformation. The proposed strategy enables the QOSTBC to achieve ML performance with significant reduction in computational load for any high-level modulation scheme.

Design and evaluation of multi-GPU enabled Multiple Symbol Detection algorithm

2015 ◽  
Vol 72 (6) ◽  
pp. 2111-2131 ◽  
Author(s):  
Ying Liu ◽  
Haixin Zheng ◽  
Renliang Zhao ◽  
Liheng Jian
Keyword(s):  
Detection Algorithm ◽  
Symbol Detection
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