Abstract:

Due to the disadvantage of sampling at a high rate and long time duration in the current methods, a novel algorithm of radial acceleration estimation is proposed for maneuvering target based on compressive sensing (CS). In this method, the analyzed signal is sampled at a rate lower than Nyquist sampling theorem without sacrificing the accuracy of parameter estimate. The simulation results show that the proposed algorithm can effectively improve the precision of acceleration estimation with sampling at a low rate and short time compared with the fractional Fourier transformation (FRFT).