High-Speed Maneuvering Target Detection And Motion Parameter Estimation Based On A Novel OMP Method

Abstract

Abstract The high-speed maneuvering target detection will meet the challenges of the range cell migration (RCM) and Doppler frequency migration (DFM), which will degrade the long-time coherent integration performance for target’s detection and localization. To tackle this problem, a novel target detection method based on an improved orthogonal matching pursuit (OMP) algorithm is proposed in this paper. To be specific, this method assume the approximation of complete dictionary has generalized orthogonality, then an improved OMP method is applied to construct sparse motion parameters dictionary. Thereafter, motion parameters can be estimated and then the RCM and DFM are removed by the compensation function. Finally, the coherent integration can be achieved by performing the inverse fast Fourier transform (IFFT) operation on the compensated echo signal. Numerical simulations and real raw data are performed to compare the proposed method with other existing methods from different aspects, i.e., motion parameter estimation performance, detection probability, coherent integration for a single high-speed target, coherent integration for multiple high-speed targets and computational complexity.