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Adaptive Beam Steering of Smart Linear Array Using LMS and RLS Algorithms

机译:使用LMS和RLS算法的智能线性阵列的自适应光束转向

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Smart antenna improves the gain of the main lobe in a direction of arrival and null generation toward the interference. Using this technique, the direction of arrival (DOA) of the antenna array can be improved and array factor can be derived in the desired direction of Angle of arrival. A report on performance evaluation of adaptive beam steering generation using Least Mean Square (LMS) and Recursive Least Mean Square (RLS) algorithms is presented. LMS algorithm is simple in the computation of Beam Forming. By repeated corrections of the weights, in an iterative procedure, the LMS algorithm finds the best weights. RLS algorithm exhibits very fast conjunction though at the cost of high complexity of computation. The effectiveness of these optimization algorithms would be compared with respect to run time. The two algorithms are compared with respect to less run time while maintaining the required specifications of the antenna is discussed. The simulation of all the results would be carried using MATLAB.
机译:智能天线在到达方向和朝向干扰方向上提高主叶的增益。使用该技术,可以改善天线阵列的到达方向(DOA),并且可以在所需的到达角度方向上导出阵列因子。提出了一种关于使用最小均方(LMS)和递归最小均方(RLS)算法的自适应光束转向生成的性能评估的报告。 LMS算法在光束形成计算中是简单的。通过重复校正权重,在迭代过程中,LMS算法找到了最佳权重。 RLS算法虽然以高复杂性的计算成本呈现非常快的结合。将与运行时间进行比较这些优化算法的有效性。在讨论的同时,相隔两个算法相对于较少的运行时间进行比较,同时讨论了所需的天线规格。所有结果的模拟将使用MATLAB携带。

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