Joint Tracking and Identification of the Unresolved Towed Decoy and Aircraft using the Labeled Particle Probability Hypothesis Density Filter

For the distance and velocity deception from the new towed decoy, echo signal from the target and decoy appear as one target on time domain and frequency domain because of aliasing. Therefore, independent measurements for the decoy and aircraft are unavailable for conventional algorithm, neither identification and tracking. In this paper is proposed a new algorithm for joint identification and tracking of the decoy and aircraft which are unresolved within radar beam, innovations for which include: First, construction of echo signal model in the three interfering stages. Once stage decided with the decoy presence detection algorithm, the proposed particle filter based measurement generating algorithm sequentially estimates the aircraft and decoy character parameters on different stages, separating the aircraft signal and decoy signal. Secondly, based on the improved labeled particle probability hypothesis density (IL-P-PHD) filter, an algorithm for joint identification and tracking of vertically the unresolved aircraft and decoy is proposed, realizing real time identification and sequential estimation of movement state. Simulation experiment demonstrates that the proposed algorithm behaves in a manner consistent with our expectations.