High-speed Maneuvering Target Detection and Motion Parameter Estimation

The detection and motion parameter estimation performance of a high-speed maneuvering target with a fixed acceleration is affected by the range migration (RM) and Doppler frequency migration (DFM). To address these problems, a fast non-searching algorithm is proposed. Firstly, the second-order keystone transform (SKT) is applied to remove the quadratic coupling between the range frequency and slow-time. Thereafter, by defining a novel symmetric autocorrelation function (SAF), the target's radial velocity and acceleration can be estimated simultaneously. With these estimates, a compensation function is constructed to compensate the RM and DFM, followed by the azimuth FFT operation to realize the coherent integration. The computational complexity can be greatly reduced due to the searching procedure has been eliminated The simulation results demonstrate the effectiveness of the proposed method.