scholarly journals Soft MIMO detection through sphere decoding and box optimization

2018 ◽  
Vol 145 ◽  
pp. 48-58
Author(s):  
M. Ángeles Simarro ◽  
Víctor M. Garcia-Mollá ◽  
Antonio Vidal ◽  
F.J. Martínez-Zaldívar ◽  
Alberto Gonzalez
Keyword(s):  
Sphere Decoding ◽  
Mimo Detection

VLSI implementation of MIMO detection using the sphere decoding algorithm

2005 ◽  
Vol 40 (7) ◽  
pp. 1566-1577 ◽  
Author(s):  
A. Burg ◽  
M. Borgmann ◽  
M. Wenk ◽  
M. Zellweger ◽  
W. Fichtner ◽  
...  
Keyword(s):  
Vlsi Implementation ◽  
Sphere Decoding ◽  
Mimo Detection ◽  
Decoding Algorithm

Reduced Complexity FSD Algorithm for MIMO Detection

2012 ◽  
Vol 195-196 ◽  
pp. 259-264
Author(s):  
Xin Yu Mao ◽  
Shu Bo Ren ◽  
Hai Ge Xiang
Keyword(s):  
Mimo System ◽  
Multiple Input Multiple Output ◽  
Antenna System ◽  
Sphere Decoding ◽  
Mimo Detection ◽  
Time Simulation ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Simulation Results ◽  
High Order Modulation

Detection is a major challenge for the utilization of multiple-input multiple-output (MIMO) system. Even the fixed sphere decoding (FSD), which is known for its simplicity in calculation, requests too much computation in high order modulation and large number antenna system especially for mobile battery-operated devices. In this paper, a reduced FSD algorithm is proposed to simplify the calculation complexity of the FSD while maintaining the performance at the same time. Simulation results in a 4×4, 16-QAM system show that up to 89% calculation can be saved while the performance drop is less than 0.1dB when SNR=24.

Study of FCLSD Algorithm Performance Based on LTE System

2012 ◽  
Vol 195-196 ◽  
pp. 96-103
Author(s):  
Ke Wen Liu ◽  
Quan Liu
Keyword(s):  
High Performance ◽  
Hardware Implementation ◽  
Low Complexity ◽  
Detection Algorithm ◽  
Sphere Decoding ◽  
Mimo Detection ◽  
Decoding Algorithm ◽  
Algorithm Performance ◽  
Simulation Results ◽  
Ber Performance

Soft-output complex list sphere decoding algorithm is a low-complexity MIMO detection algorithm and its BER performance approximates that of Maximum-Likelihood. However, it has a problem of not fixed complexity, and which make it very difficult to implement. To resolve this and try best to retain the advantages of the algorithm, a modified algorithmfixed complex list sphere decoding algorithm was proposed. Based on LTE TDD system, this paper studies the performance of the FCLSD algorithm. The simulation results show that: the BER performance of the FCLSD algorithm is close to that of the CLSD algorithm. However, when the number of antennas and modulation order increasing, the FCLSD algorithm is non-constrained of spherical radius and has fixed complexity. In addition, hardware implementation of the FCLSD algorithm could be carried out by parallel processing, thereby greatly reducing the algorithm complexity. So it is a high-performance algorithm of great potential.

scholarly journals Dynamic K-Best Sphere Decoding Algorithms for MIMO Detection

2013 ◽  
Vol 05 (03) ◽  
pp. 103-107
Author(s):  
Chengzhe Piao ◽  
Yang Liu ◽  
Kaihua Jiang ◽  
Xinyu Mao
Keyword(s):  
Sphere Decoding ◽  
Mimo Detection ◽  
Decoding Algorithms

scholarly journals A Novel Efficient Sphere Decoding with Reed-Solomon Code in MIMO Detection

2019 ◽  
Vol 8 (9) ◽  
pp. 2915-2920
Keyword(s):  
Sphere Decoding ◽  
Mimo Detection ◽  
Symbol Space ◽  
Probability Of Error ◽  
Space Forms ◽  
Optimal Receiver ◽  
Reed Solomon Code ◽  
Efficient Detection ◽  
Sparsity Structure ◽  
Data Symbol

An optimal receiver recovering transmitted signals across a noisy communication channel employs an efficient impact as Sphere Decoding (SD) benchmark to reduce the probability of error. This system can employ a coding strategy for information security where the data symbol space forms a scant lattice. The sparsity structure is resolved through channel code. In this article, motivated by this idea, we present novel efficient detection-decoding combinational techniques using Reed-Solomon (RS) decoding followed by the single tree search (STS) algorithm in SD detection. The simulation results determine that the proposed method of improving the performance of 1.6 dB at the bit error rate (BER) of has a significant impact.

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