Low Complexity Multiuser Detection Algorithm for Multi-Beam Satellite Systems
Yang Wang, Danfeng Zhao,Xi Liao
(College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China)
Abstract:
The minimum mean square error-successive interference cancellation (MMSE-SIC) multiuser detection algorithm has high complexity and long processing latency. A multiuser detection algorithm is proposed for multi-beam satellite systems in order to decrease the complexity and latency. The spot beams are grouped base on the distance between them in the proposed algorithm. Some groups are detected in parallel after a crucial group-wise interference cancellation. Furthermore, the multi-stage structure is introduced to improve the performance. Simulation results show that the proposed algorithm can achieve better performance with less complexity compared with the existing group detection algorithm. Moreover, the proposed algorithm using one stage can reduce the complexity over the fast MMSE-SIC and existing group detection algorithm by 9％ and 20.9％. The processing latency is reduced significantly compared with the MMSE-SIC.
Key words: satellite communications multi-beam satellites multiuser detection complexity
DOI：10.11916/j.issn.1005-9113.2015.05.016
Clc Number:TN927.2
Fund:
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Low Complexity Multiuser Detection Algorithm for Multi-Beam Satellite Systems
本站小编 哈尔滨工业大学/2019-10-23
相关话题/Low Complexity Multiuser Detection Algorithm
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