Abstract
MIMO technology has become one of the key technologies of TD-LTE mobile communication system to achieve high data rates, high transmission quality and high system capacity. The key factor whether can it be applied to the actual system is that the detection algorithm performance is good or bad and the level of computational complexity. Several classical algorithms, such as ML (Maximum Likelihood),SD (sphere decoding),ZF (Zero-Forcing),MMSE (Minimum Mean-square Error) and ZF-(O)SIC ( Ordered Successive Interference Cancellation),MMSE-(O)SIC algorithm, are researched and analyzed in this paper. And the detail comparison of the characteristics and performances among the different algorithms is given in this paper. The results show that the improvement of systematic performances is always at the cost of complexity increase. The selection of downlink MIMO signal detection algorithms needs to strike a reasonable balance between the computational complexity and the system performance in real application.
Supported by “the Fundamental Research Funds for the Central Universities(72104669)” and “the 111 Project(B08038)”.
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Fu, W., Zhao, C., Zhang, F., Chen, B. (2012). Research on the Downlink MIMO Signal Detection Algorithms in the TD-LTE System. In: Qian, Z., Cao, L., Su, W., Wang, T., Yang, H. (eds) Recent Advances in Computer Science and Information Engineering. Lecture Notes in Electrical Engineering, vol 127. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25769-8_22
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DOI: https://doi.org/10.1007/978-3-642-25769-8_22
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