Direction-of-arrival estimation in sensor arrays for moving terminals
Dah‐Chung Chang, Bo-Wei Zheng · 2017
The beamforming technique usually employs multiple sensors or sensor array to enhance receiving signals such that the generalized sidelobe canceler (GSC) is commonly applied for eliminating interfering signals. In this paper, a new direction-of-arrival (DOA) estimation method is studied for the GSC with a moving terminal in the arrayed wireless sensor network. In our simulations, the beamformer's weighting coefficients are estimated with an augmented Kalman filter (AKF), the standard Kalman filter (KF), and the least mean square (LMS) algorithms. The results show that the AKF has better convergence rate and GSC's output SINR performance than other algorithms.