Adaptive Beamforming Using LMS Algorithm for Planar Arrays and Subarrays

The importance of adaptive algorithms to recognize the existence of an interference is increasing since the adaptive antennas adjust the pattern automatically. One such adaptive algorithm is the least mean square (LMS), where the SNR of the required signal is optimized in the specified direction. The LMS adaptive algorithm is achieved by directing the beam toward the desired direction and generation of complex weights. This paper shows the need for the LMS algorithm to suppress the interference and the implementation of the algorithm on uniform planar arrays of size 8 � 8 with interelement spacing ?/2 and at subarray level. In subarray level, the 8 � 8 planar array is divided into 2 � 2 subarrays. � 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.