%0 Journal Article
	%A R. Fan and  Q. Wan and  H. Chen and  Y.L. Liu and  Y.P. Liu
	%D 2013
	%J International Journal of Computer and Information Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 77, 2013
	%T A Fast HRRP Synthesis Algorithm with Sensing Dictionary in GTD Model
	%U https://publications.waset.org/pdf/15081
	%V 77
	%X In the paper, a fast high-resolution range profile synthetic algorithm called orthogonal matching pursuit with sensing dictionary (OMP-SD) is proposed. It formulates the traditional HRRP synthetic to be a sparse approximation problem over redundant dictionary. As it employs a priori that the synthetic range profile (SRP) of targets are sparse, SRP can be accomplished even in presence of data lost. Besides, the computation complexity decreases from O(MNDK) flops for OMP to O(M(N + D)K) flops for OMP-SD by introducing sensing dictionary (SD). Simulation experiments illustrate its advantages both in additive white Gaussian noise (AWGN) and noiseless situation, respectively.

	%P 617 - 621