An adaptive array antenna using combined DFT and LMS algorithms
K. Watanabe, Isamu Yoshii, Ryuji Kohno · 2002
Both classes of adaptive algorithm based on temporal update, e.g. LMS and spatial spectral estimation, e.g. DFT have advantages and disadvantages relatively. In order to compensate for their problems while maintaining advantages, this paper proposes and investigates an adaptive array antenna using a combined DFT and LMS algorithm. The proposed combined algorithm can improve the convergence speed of the weight coefficients in the temporal updating algorithm and the accuracy of the weight coefficients in the spatial spectral estimation algorithm.