Fast predictive angle tracking (FPAT) algorithm for tracking multiple targets

In this paper, we propose a novel angle tracking algorithm for tracking multiple targets. The proposed algorithm modifies the algorithm presented by Park, et al. in two ways by using the sensor array output vector rather than the sample covariance matrix and by incorporating the extended Kalman filter instead of a simple Kalman filter. The proposed algorithm requires lower computational complexity and also improves the tracking performance especially at lower number of snapshots. Through computer simulations, the effectiveness of the proposed algorithm is verified.

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