Abstract
The demand for wireless mobile communication is growing exponentially with expectations that in the near future mobile device or user will be available in every corner of the globe. Alternatively, it increases the importance of antenna arrays which are responsible for transmission and reception of information. Every antenna array is projected to generate a desired pattern and, hence, failure of any antenna causes misrepresentation of the overall pattern in terms of increased side lobe levels and displacement of nulls from their original position. The aim of the study is to present viable, simple, and accurate stochastic solver based on backtracking search optimization algorithm (BSA) for the pattern correction of faulty antenna array in mobile communication systems. A fitness function is developed to optimize the weights of the remaining healthy antenna elements in the array. The fitness function consists of two parts: the first part is based on mean square error approach for the reduction of sidelobes level, while, in the second part, steering vectors are used for the repositioning of nulls. Simulation results establish the validity of the BSA from its counterparts based on genetic algorithm and its memetic combination with pattern search technique.
Highlights
The interest of researchers in wireless mobile communication systems is growing day by day due to several reasons
The performance of backtracking search optimization algorithm (BSA) is compared to already available techniques for array pattern correction using genetic algorithm (GA) and GA-pattern search (PS) as reported in [1]
One can observe that failure of element near the center (4th element) causes more damage to the pattern in terms of high side lobe level and displacement of nulls from their original position as compared to failure of element far from center (9th)
Summary
The interest of researchers in wireless mobile communication systems is growing day by day due to several reasons. The combined effects of all weights generate the desired pattern having suitable side lobe level, nulls position, and null depths [1] This process is known as array synthesis which is used for controlling amplitudes, positions, and phases to achieve the desired radiation patterns and eliminate noise and unwanted signals. Nulls can be used to achieve this goal by moving them in the direction of unwanted signals but this is not an easy task as direction of unwanted signal is not known or the signal’s direction is changing on regular basis This is known as nulling operation that can be achieved by adjusting amplitude-only [4], position-only [5], and phase-only [6] of the individual antenna to generate nulls in the direction of unwanted signals
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