Abstract:

The improvement of the capability to detect dim targets is commonly realized by longterm accumulation. In order to detect those high speed targets, a novel radar signal processing method based on Keystone transform for surveillance radar is presented, which is able to compensate the range migration effect caused by long dwell time and high speed motion of targets. The target energy is accumulated effectively, and Doppler ambiguity is solved by data fusion. Finally, the target detection and parameter estimation are implemented. The proposed method can be used to detect multiple dim targets with different ranges and velocities by longterm coherent accumulation. Meanwhile, the speed measurement resolution is improved significantly with the number of pulses increased. Multitarget simulation results illustrate the effectivity of the proposed method.