Long-time coherent integration of high-speed maneuvering targets

When observing high-speed maneuvering targets, the relative motion between the target and the radar will produce linear range walking, range bending, Doppler spread and other phenomena, resulting in the failure to obtain higher SNR gain by prolonging the coherent integration time. A coherent integration algorithm based on Wigner Ville Distribution (WVD) is proposed for target detection with uniform acceleration in any direction. The algorithm first uses the second-order Keystone transform and combines the linear detection algorithm to correct range walking and range bending, then introduces the delay variable and constructs a third-order matrix based on the traditional WVD algorithm to convert the echo signal to the time-frequency domain plane for third-order phase parameter estimation, and compensates the third-order phase coefficient, and then uses the LVD algorithm to estimate and compensate its second-order phase coefficient to achieve the correction of Doppler spread. The algorithm has excellent parameter estimation performance in a strong noise environment and has lower algorithm complexity compared with the traditional full-dimension search algorithm.