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首页> 外文会议>ICCEE 2010;International conference on computer and electrical engineering >Performance and Quality Analysis of Adaptive Beamforming Algorithms (LMS,CMA, RLS CGM) for Smart Antennas
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Performance and Quality Analysis of Adaptive Beamforming Algorithms (LMS,CMA, RLS CGM) for Smart Antennas

机译：智能天线自适应波束成形算法（LMS，CMA，RLS和CGM）的性能和质量分析

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摘要

Due to recent substantial development in the field of wireless communication, there is a need to maximize spectral efficiency so that the extensive increase in traffic can be accommodated efficiently. Smart antenna system is a major source to maximize spectral efficiency and capacity of the wireless networks, it consists of an adaptive antenna array that continuously adjusts its radiation characteristics (beam-width of main lobe, side lobe levels and position of nulls) to produce narrow beam in the direction of arrival (DOA) of desired signal and to place nulls in the DOA of interferer signals so that maximum SINR (Signal to Interference and Noise Ratio) is obtained. Smart antennas are becoming more popular now a days due to extensive advancement in the field of digital signal processing and real time implementation of adaptive signal processing techniques on FPGA's. in this paper we analyze various adaptive beamforming algorithms including LMS (Least Mean Squares), CMA (Constant Modulus Algorithm), RLS (Recursive Least Squares) and CGM (Conjugate Gradient Method) through simulating different parameters like radiation pattern, amplitude response, mean square error and absolute weights of an N-element array for a certain number of iterations. The obtained simulation results are very helpful to evaluate performance and quality of adaptive beamforming algorithms.
机译：由于无线通信领域中最近的重大发展，需要最大化频谱效率，以便可以有效地适应业务量的大量增加。智能天线系统是使无线网络的频谱效率和容量最大化的主要来源，它由一个自适应天线阵列组成，该阵列不断调整其辐射特性（主瓣的波束宽度，旁瓣水平和零点位置）以产生窄的辐射在所需信号的到达方向（DOA）上发射波束，并在干扰信号的DOA中放置零点，以便获得最大SINR（信号与干扰和噪声之比）。由于数字信号处理领域的广泛进步以及在FPGA上实时实施自适应信号处理技术，如今智能天线正变得越来越流行。在本文中，我们通过模拟辐射方向图，幅度响应，均方差等不同参数，分析了各种自适应波束成形算法，包括LMS（最小均方），CMA（恒定模量算法），RLS（递归最小二乘法）和CGM（共轭梯度法）。 N元素数组在一定数量的迭代中的误差和绝对权重。获得的仿真结果对于评估自适应波束形成算法的性能和质量非常有帮助。

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