A fast generalized complex sphere decoder for MIMO systems

2006 ◽  
Author(s):  
Chao Liu ◽  
Jianwu Zhang
Keyword(s):  
Mimo Systems ◽  
Sphere Decoder ◽  
Complex Sphere ◽  
Generalized Complex

scholarly journals Search Radius Setting and Updation for Sphere Decoder for MIMO systems

2020 ◽  
Vol 171 ◽  
pp. 2087-2096
Author(s):  
Suneeta V. Budihal ◽  
R.M. Banakar
Keyword(s):  
Mimo Systems ◽  
Sphere Decoder

A New Approach of Detection Algorithm for Reducing Computation Complexity of MIMO systems

2016 ◽  
Vol 1 (1) ◽  
pp. 159
Author(s):  
Mohammed Qasim Sulttan
Keyword(s):  
Communication Systems ◽  
High Speed ◽  
Mimo Systems ◽  
Symbol Error Rate ◽  
Detection Algorithm ◽  
Practical Implementation ◽  
High Complexity ◽  
Computation Complexity ◽  
Sphere Decoder ◽  
Manhattan Metric

<p>Multiple-Input Multiple-Output (MIMO) technique is a key technology to strengthen and achieve high-speed and high-throughput wireless communications. . In recent years, it was observed that frequent detecting techniques could improve the performance (e.g., symbol error rate ‘SER’) of different modern digital communication systems. But these systems faced a problem of high complexity for the practical implementation.  To solve the problem of high complexity, this work proposed Frequent Improve K-best Sphere Decoding (FIKSD) algorithm with stopping rule depending on the Manhattan metric. Manhattan metric is proposed to use with FIKSD in order to achieve the lowest complexity. FIKSD is a powerful tool to achieve a high performance close to the maximum likelihood (ML), with less complexity. The simulation results show a good reduction in computation complexity with a cost of slight performance degradation within 1dB; the proposed FIKSD requires 0% to 94% and 82% to 97% less complexity than Improved K-best Sphere Decoder (IKSD) and K-best Sphere Decoder (KSD) respectively. This makes the algorithm more suitable for implementation in wireless communication systems.</p>

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