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arXiv · 1009.4969

Extended Range Profiling in Stepped-Frequency Radar with Sparse Recovery

Yang Hu·Yimin Liu·Huadong Meng·Xiqin Wang
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Abstract

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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Yang Hu, Yimin Liu, Huadong Meng, Xiqin Wang. 2010-09-25. Extended Range Profiling in Stepped-Frequency Radar with Sparse Recovery. https://arxiv.org/abs/1009.4969

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