Performance Investigation of Robust Antenna Array Processor for minimizing Mutual Coupling Effect and Steering Angle Disparity
M. F. Ali, M. S. Hossain, M. F. Reza, M. M. Rashid
Abstract
Antenna array processor’s performance is limited extremely in the existence of two array imperfections; mutual coupling (MC) among antenna array elements and steering angle disparity (SAD). That's why; robustness for antenna array processor has come to be a vital issue. The key shortcomings of conventional robust loading techniques are that there is no such algorithm to minimize both MC effect and SAD acting at the same time and no perfect perception is concerned to choose the level of loading according to error level. The proposed robust loading technique maximally minimizes the MC effect and SAD acting alone or in accompany. It is also able to cancel interference from signal of interests and to select loading levels spontaneously according to error level that makes it as a completely automatic loading method. The performance of the presented loading technique is evaluated in the existence of MC effect as well as SAD through numerical examples and fitness among existing robust array processors have also been compared. This paper also shows that the demonstrated method performs superior than the existing conventional method.
Conclusion
In this paper we have shown the superiority of proposed NVL robust MVDR antenna array processor against mutual coupling effect and steering angle disparity. It can minimize both of these effects in a same algorithm and doesn’t need any fixed loading level rather it is a completely automatic loading technique. A number of MATLAB simulations explain the excellent performance of this proposed algorithm. Examples have been presented to compare the performance of NVL with the existing GLC and FDL techniques. It has been shown using computer simulation that the proposed robust processor achieved 6dB higher SINR than the existing processor [6]. We have demonstrated that NVL is very useful in the case where the users of adaptive arrays are most interested for higher gain and better performance.
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