Adaptive window bandwidth selection for direction of arrival estimation of uniform velocity moving targets based relative intersection confidence interval technique
Amira Salah Ashour, Nilanjan Dey · Ain Shams Engineering Journal · 2016
The local polynomial approximation (LPA) beamformer is known to have outstanding statistical performance. It can be used for Direction of arrival (DOA) estimation and localizes rapidly moving targets. However, its fixed window makes it unable to track varying target scenarios, besides the high computational time associated with the LPA based intersection confidence interval (ICI). Thus, this paper proposed a DOA estimation of moving targets based on the relative intersection of the confidence interval (RICI) rule to improve the computational efficiency to track varied target scenarios. Endow with comparisons, the proposed method surpasses those based on the original ICI rule in terms of the efficiency and computational time. In addition, it demonstrates the effective performance of the LPA combined with the RICI to accurately localize the moving targets, as the divergence between the actual and the estimated angle or angular velocity values provides −4 dB and −12 dB SNR; respectively.