Research Article
A New Message Passing Algorithm Based on Sphere Decoding Improvement
@INPROCEEDINGS{10.1007/978-3-030-67514-1_54, author={Hongwei Zhao and Yue Yan and Zichun Zhang}, title={A New Message Passing Algorithm Based on Sphere Decoding Improvement}, proceedings={IoT as a Service. 6th EAI International Conference, IoTaaS 2020, Xi’an, China, November 19--20, 2020, Proceedings}, proceedings_a={IOTAAS}, year={2021}, month={1}, keywords={SCMA MPA Sphere decoding}, doi={10.1007/978-3-030-67514-1_54} }- Hongwei Zhao
Yue Yan
Zichun Zhang
Year: 2021
A New Message Passing Algorithm Based on Sphere Decoding Improvement
IOTAAS
Springer
DOI: 10.1007/978-3-030-67514-1_54
Abstract
In a multi-satellite measurement and control system, when multiple satellites transmit data to the ground station at the same time, the ground station needs to efficiently detect the data of each satellite. Large overload access leads to strong mutual interference of satellite signals, and non-positive signals based on sparse codes are used. Cross multiple access (SCMA) technology can provide access and distribution capabilities that exceed the limit of traditional channel capacity, and is suitable for a large number of constellation measurement and control systems. However, the traditional MPA algorithm is extremely complex and has a large processing delay. It has a great test of the complexity and real-time performance that needs to be considered in the application. Therefore, it is of great significance to study the low-complexity space borne reception detection algorithm. A new multi-user detection algorithm based on partial codeword marginalization and sphere decoding, which is called PMSD-MPA, is proposed in this paper. PMSD-MPA considers both the mapping between resource nodes and user nodes and reduce the number of iteration. Proved by simulation, the convergence rate of the iteration process is accelerated, thus reducing the computational complexity of the detection algorithm.
