To address the problem of Airborne Passive Coherent Location (APCL) in heavy clutter, a method for single target passive coherernt location is proposed based on Dynamic Programming-State Augmentation (DP-SA). Based on the error propagation theory, the state transition is analyzed considering transmitter location uncertainty. The state transition is then used to construct the cost function in the Dynamic Programming (DP) framework. The backtracking threshold of the DP is derived using the extreme value theory, which helps to improve the detection probability of the low observable target. To reduce the effect of transmitter location uncertainty on tracking performance, the measurement covariance is modified online. In addition, the state augment technique is invoked to estimate the target state and the transmitter state simultaneously. Simulation results verify effectiveness of the proposed method.
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