Direction of Arrival Estimation Based on Distributed Sources Model in MIMO Channel Environment

Yinghua Han, Jinkuan Wang, Xin Song, Zhigang Liu, Yanbo Xue
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Abstract

In MIMO channel, the presence of scatters results in angular spread. The point source model corresponding to discrete direction of arrival (DOA) becomes restrictive and leads to DOA estimation errors. To compensate for this effect, the distributed source model is proposed. A first order Taylor series expansion of the steering vector is derived, which is similar to the point source model. The proposed method is a possible alternative to MUSIC for the central DOA estimation. The algorithm that has lower computational cost can be used for sources with different distribution functions in MIMO channel. Simulations clearly demonstrate that the proposed method is not only effective, but also enjoys better SNR performance compared with MUSIC
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基于分布式信源模型的MIMO信道到达方向估计
在MIMO信道中,散射的存在导致了角扩展。离散到达方向(DOA)所对应的点源模型具有局限性,导致DOA估计误差。为了弥补这种影响,提出了分布式源模型。导出了导向矢量的一阶泰勒级数展开式,该展开式类似于点源模型。所提出的方法是一种可能替代MUSIC的中心DOA估计方法。该算法对MIMO信道中具有不同分布函数的信源具有较低的计算成本。仿真结果表明,该方法不仅有效,而且具有比MUSIC更好的信噪比
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