Extended Range Profiling in Stepped-Frequency Radar with Sparse Recovery

Details Extended Range Profiling in Stepped-Frequency Radar with Sparse Recovery Extended Range Profiling in Stepped-Frequency Radar with Sparse Recovery

2010-09-25

arxiv.org/abs/1009.4969v3

Computer Science

Information Theory

3 pages, 3 figures

Scientific paper

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.

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