Abstract
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.
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Deepa, B., Roopa, B. (2018). Adaptive Beam Steering of Smart Linear Array Using LMS and RLS Algorithms. In: Anguera, J., Satapathy, S., Bhateja, V., Sunitha, K. (eds) Microelectronics, Electromagnetics and Telecommunications. Lecture Notes in Electrical Engineering, vol 471. Springer, Singapore. https://doi.org/10.1007/978-981-10-7329-8_78
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DOI: https://doi.org/10.1007/978-981-10-7329-8_78
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