Abstract
In MIMO-OFDM systems with multiple layers spatial multiplexing and high-order QAM, efficient MIMO detection is very significant for receiver design. Among current MIMO detection algorithms, K-Best is a prevailing algorithm with fixable balance between performance and complexity. However, the current K-Best and its varieties are not suitable for parallel programmable baseband architecture, such as DSP with VLIW, SIMD, or vector processing features. In this chapter, an improved K-Best detection algorithm is proposed, and an efficient soft-output algorithm is designed. Simulation results show that its performance is near to general K-Best with lowered time complexity, especially under high SNR. Using this algorithm, the system throughput can be increased in times.
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Acknowledgments
This work was supported by NSFC (61021001), National Basic Research Program of China (2012CB316002), National S&T Major Project (2010ZX03005-001-02), and China’s 863 Project (Research on the key technology of green networks).
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Tan, C., Zhao, Y., Zhou, C., Li, Y. (2014). An Improved K-Best MIMO Detection Algorithm for Parallel Programmable Baseband Architecture. In: Xing, S., Chen, S., Wei, Z., Xia, J. (eds) Unifying Electrical Engineering and Electronics Engineering. Lecture Notes in Electrical Engineering, vol 238. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-4981-2_170
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DOI: https://doi.org/10.1007/978-1-4614-4981-2_170
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