移动通信中自适应阵列智能天线MUSIC和ESPRIT DOA估计算法的性能分析

T. Lavate, V. K. Kokate, A. Sapkal
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引用次数: 185

摘要

自适应阵列智能天线涉及阵列处理,以这样的方式操纵在各种天线元件上诱导的信号,使主波束指向所需的信号并形成指向干扰源的零点。这种智能天线可以增加信道容量和覆盖范围,在无线移动通信中得到广泛应用。在自适应阵列智能天线中,为了对目标信号进行定位,需要使用各种到达方向估计算法。本文对智能天线系统设计中广泛使用的DOA估计算法MUSIC和ESPRIT进行了研究和比较。MUSIC和ESPRIT算法提供了高角度分辨率,因此通过改变智能天线系统的各种参数对它们进行了详细的探索。但本文的仿真表明,MUSIC算法相对于ESPRIT具有较高的精度和稳定性,并且提供了较高的角度分辨率,因此MUSIC算法可以广泛应用于移动通信中来估计到达信号的DOA。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance Analysis of MUSIC and ESPRIT DOA Estimation Algorithms for Adaptive Array Smart Antenna in Mobile Communication
Adaptive array smart antenna involves the array processing to manipulate the signals induced on various antenna elements in such way that the main beam directing towards the desired signal and forming the nulls towards the interferers. Such smart antennas are widely used in wireless mobile communications as they can increase the channel capacity and coverage range. In adaptive array smart antenna, to locate the desired signal, various direction of arrival (DOA) estimation algorithms are used. This paper investigates and compares MUSIC and ESPRIT, DOA estimation algorithms which are widely used in the design of smart antenna system. MUSIC and ESPRIT algorithms provide high angular resolution and hence they are explored much in detail by varying various parameters of smart antenna system. However simulation in this paper shows that MUSIC algorithm is highly accurate and stable and provides high angular resolution compared to ESPRIT and hence MUSIC algorithm can be widely used in mobile communication to estimate the DOA of the arriving signals.
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