2010/09/25 by Yang Hu, Yimin Liu, Hu, Yang +5
Computer Science · Engineering · Mathematics · #Advanced SAR Imaging Techniques #FOS: Computer and information sciences #Information Theory (cs.IT) #Microwave Imaging and Scattering Analysis #Sparse and Compressive Sensing Techniques #cs.IT #math.IT
paper · pdf · doi:10.48550/arxiv.1009.4969
3 pages, 3 figures
openalex publication_date 2010/09/25 · arxiv created 2010/11/18 · arxiv updated 2010/11/19 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
The newly emerging theory of compressed sensing (CS) enables restoring a sparse signal from inadequate number of linear projections. Based on compressed sensing theory, a new algorithm of high-resolution range profiling for stepped-frequency (SF) radar suffering from missing pulses is proposed. The new algorithm recovers target range profile over multiple coarse-range-bins, providing a wide range profiling capability. MATLAB simulation results are presented to verify the proposed method. Furthermore, we use collected data from real SF radar to generate extended target high-resolution range (HRR) profile. Results are compared with `stretch' based least square method to prove its applicability.