Enhancing the performance of AOA estimation in wireless communication using the MUSIC algorithm

被引:0
|
作者
Laxmikanth, P. [1 ]
Surendra, L. [1 ]
Ratnam, D. Venkata [1 ]
Babu, S. Susrutha [1 ]
Babu, S. Suparshya [1 ]
机构
[1] KL Univ, Dept ECE, Guntur, India
关键词
AOA; MUSIC; Eigen values; Eigen vectors;
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Smart antenna technology in cellular communication is an auspicious method to enhance the potential of communications networks. One of the problematic issues in smart antenna is the inaccurate detection of the arrival signal with different angles of arrival in multipath Rayleigh fading channel. In this paper, a new smart antenna signal processing method has been proposed for estimating the angle-of-arrival (AOA) of signals using the MUSIC method for wireless communication applications. MUSIC is a well-known high resolution eigen-structure method. This paper also describes how the performance of the estimation process can be enhanced by changing various parameters of the array antenna. The simulation has been conducted under different random signal arrivals and space between array elements. The achieved results show that the proposed method can estimate the AOA with higher efficiency.
引用
收藏
页码:448 / 452
页数:5
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