Abstract
Coherent integration technique is one of the most useful methods for the improvement of radar detection ability of a weak maneuvering target, whereas it would easily run into the range migration (RM) and Doppler frequency migration (DFM) effects resulting serious integration loss during the coherent accumulation period. In this paper, a new coherent integration method, known as the Radon-generalized ambiguity function (RGAF), is proposed for detecting a maneuvering target with complex motions. By searching along the target's moving trajectory, the observation values of a maneuvering target can be extracted and well accumulated in the RGAF domain without RM and DFM effects. The definition of the RGAF demonstrates that it is the generalization of the popular ambiguity function, linear canonical ambiguity function, Radon-fractional Fourier transform and Radon-linear canonical transform. Finally, several simulations are provided to demonstrate the effectiveness. The results show that the RGAF can achieve higher detection probability of a maneuvering target under low signal-to-noise-ratio environment.
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