Theoretical Analysis for Extended Target Recovery in Randomized Stepped Frequency Radars
arXiv:1908.02929 · doi:10.1109/TSP.2021.3058444
Abstract
Randomized Stepped Frequency Radar (RSFR) is very attractive for tasks under complex electromagnetic environment. Due to the synthetic high range resolution in RSRFs, a target usually occupies a series of range cells and is called an extended target. To reconstruct the range-Doppler information in a RSFR, previous studies based on sparse recovery mainly exploit the sparsity of the target scene but do not adequately address the extended-target characteristics, which exist in many practical applications. Block sparsity, which combines the sparsity and the target extension, better characterizes a priori knowledge of the target scene in a wideband RSFR. This paper studies the RSFR range-Doppler reconstruction problem using block sparse recovery. Particularly, we theoretically analyze the block coherence and spectral norm of the observation matrix in RSFR and build a bound on the parameters of the radar, under which the exact recovery of the range-Doppler information is guaranteed. Both simulation and field experiment results demonstrate the superiority of the block sparse recovery over conventional sparse recovery in RSFRs.
arXiv comment12 pages, 8 figures
References in corpus (9)
- Compressed Sensing of Block-Sparse Signals: Uncertainty Relations and Efficient Recovery
- Model-Based Compressive Sensing
- High-Resolution Radar via Compressed Sensing
- Recovering low-rank matrices from few coefficients in any basis
- Joint-sparse recovery from multiple measurements
- Block-Sparse Recovery via Convex Optimization
- Analysis of Frequency Agile Radar via Compressed Sensing
- Uncertainty Relations for Shift-Invariant Analog Signals
- Conditioning of Random Block Subdictionaries with Applications to Block-Sparse Recovery and Regression
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