Abstract:
In view of the requirement of estimating the three
dimensional(3D) location of the target in real application, this paper proposes a 3D target localization algorithm based on single 2D radar. This algorithm utilizes the dynamic model incorporating the measurements obtained at distinct time index to achieve the maximum likelihood (ML) estimate of the target location. Then, the Cramér Rao lower bound (CRLB) for target localization mean square error (MSE) is derived. Simulation results not only show the efficiency of this algorithm, but also yield that the total localization accuracy can be improved with increasing of the target return signal to noise ratio (SNR), the frame number, the vertical distance between the target and the radar and the velocity of the target.
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