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The information of acceleration of a highly maneuverable target can be helpful to enhancing the performance of the tracker and facilitating the classification of targets.However,the current radars cannot provide information on the acceleration of the target in signal processing.Conventionally,acceleration is estimated by using Kalman filtering in several pulse echoes.There are limitations and shortcomings in this method because of its low precision.This paper proposes a Hough-ambiguity transformation(HAT) method for estimating the acceleration within one pulse.Simulations results validate the effectiveness of the proposed algorithm under several conditions with different pulse durations,signal to noise ratios(SNR),searching steps and searching radii respectively.Simulation results also show that the performance of the proposed method is superior to that of other methods.
The information of acceleration of a highly maneuverable target can be helpful to enhance the performance of the tracker and facilitating the classification of targets. However, the current radars can not provide information on the acceleration of the target in signal processing. Conventionally, acceleration is estimated by using Kalman filtering in several pulse echoes. There are limitations and shortcomings in this method because of its low precision. This paper proposes a Hough-ambiguity transformation (HAT) method for estimating the acceleration within one pulse. Simulations results validate the effectiveness of the proposed algorithm under several conditions with different pulse durations, signal to noise ratios (SNR), searching steps and searching radii respectively. Simulation results also show that the performance of the proposed method is superior to that of other methods.