A Wideband Kalman DOA Tracking Algorithm
Huiqin Yan, H. Howard Fan · 2006
In this paper, a new direction of arrival (DOA) tracking algorithm is presented. We assume that the signals exhibit cyclostationarity, which is exploited to perform signal selective DOA tracking. A least squares (LS) tracking algorithm is first presented. Then a Kalman filter is applied to this algorithm to improve the performance of DOA tracking. Simulations are carried out to demonstrate the effectiveness of the proposed algorithm