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Least-squares regenerative hybrid array for adaptive beamforming

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4 Author(s)
Chien-Chung Yeh ; Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan ; Wun-Der Wang ; T. -H. S. Chao ; Jeich Mar

The least-squares method is applied to adaptive beamforming in a regenerative hybrid array that utilizes both the steering vector and reference signal acquired from the array output to preserve the desired signal. It is shown that like the gradient-search-based regenerative hybrid array, the proposed array converges to the steady state of the Applebaum-type array adapted without the desired signal present. The array transient behavior is simulated with weights updated by the QR decomposition algorithm. Results show that the least-squares regenerative hybrid array converges much faster than the original regenerative hybrid array on which it is based. Simulations of the steady-state performance show that the regenerative hybrid array performs better than high-order derivative constraint arrays

Published in:

IEEE Transactions on Antennas and Propagation  (Volume:38 ,  Issue: 4 )