基于最小均方算法的智能天线系统数据复用性能分析

2017 International Conference on Computing, Communication and Automation (ICCCA) Pub Date : 2017-05-01 DOI:10.1109/CCAA.2017.8230058

Anamika Rathore, D. K. Panda

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引用次数: 3

摘要

智能天线系统对提高通信系统的容量、覆盖范围和质量具有重要意义。智能天线将天线阵列与数字信号处理能力相结合，通过将辐射聚焦到特定的期望用户方向，同时对干扰形成零值来跟踪移动用户。本文从波束转向能力和算法的消去能力两方面对数据复用的最小均方算法(DRLMS)和最小均方算法(LMS)进行了性能分析，并利用MATLAB 7.14进行了对比分析。仿真结果表明，通过在每次迭代中重复使用期望电流和输入信号进行系数更新，DRLMS比LMS具有更好的性能和干扰抑制能力、波束导向能力和更高的收敛速度。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Performance analysis of data reusing least mean square algorithm for smart antenna system

Smart antenna system is very useful to increase the capacity, coverage and quality of communication system. Smart antenna combines the antenna array with digital signal processing capability which tracks the mobile user by focusing radiation in a specific desired user direction and at the same time forming null toward interference. This paper represents the performance analysis of Data reusing least mean square (DRLMS) and Least Mean Square (LMS) through beam steering ability and nullifying capability of algorithm and comparative analysis is done using MATLAB 7.14. The simulation result shows that DRLMS has better performance and interference suppression capability, beam steering ability and higher convergence rate than LMS by reusing current desired and input signal as repeatedly within each iteration for coefficients update.

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来源期刊

2017 International Conference on Computing, Communication and Automation (ICCCA)

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