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IEEE/CIC International Conference on Communications in China (ICCC)

作者： Jiang, Yuxiao Yao, Bobin Wu, Qisheng Changan Univ Xian 710064 Peoples R China

ISBN: (纸本)9781538645024

In this paper, we divide a DOA related two-dimension weighted subspace fitting function into two independent one-dimension versions, and propose two novel direction of arrival (DOA) estimation algorithms. The first one is designed for uncorrelated sources, which includes only one-time polynomial rooting and no angle paring;the second one for coherent multipath sources, which includes two-time polynomial rooting and angle paring but no spatial smoothing. Compared with some exist algorithms, both proposed algorithms are of computational efficiency and all have better angle estimating performance. Simulation results prove the effectiveness of the two algorithms.

关键词： large scale antenna array angle estimation weighted subspace fitting mode algorithm

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Weighted Subspace Fitting for Two-Dimension DOA Estimation in Massive MIMO Systems

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IEEE ACCESS 2017年 5卷 14020-14027页

作者： Yao, Bobin Zhang, Weile Wu, Qisheng Changan Univ Sch Elect & Control Engn Xian 710064 Shaanxi Peoples R China Xi An Jiao Tong Univ MOE Key Lab Intelligent Networks & Network Secur Xian 710049 Shaanxi Peoples R China

Massive multiple-input multiple-output system can enable multi-stream transmission for high spectrum efficiency, which is a key technology in future 5G cellular networks. In this paper, we degenerate a direction of arrival (DOA) related 2-D weighted subspace fitting function into two independent parameterized 1-D versions. Based on this, we develop a novel 2-D DOA estimation algorithm, which can be utilized to assist in performing downlink precoding. Furthermore, we also make an analysis on the computational complexity and the theoretical Cramer-Rao lower bound. The direct merits are as follows: the proposed algorithm includes only once polynomial rooting and also does not require angle paring, hence it is of computational efficiency;in addition, compared with some existing algorithms, it can achieve higher 2-D angle estimating accuracy. A series of Monte Carlo simulations are subsequently carried out, which demonstrate the effectiveness of the proposed algorithm.

关键词： Massive multiple-input multiple-output system angle estimation weighted subspace fitting mode algorithm

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