Compressed sensing (CS) imaging radar can obtain higher resolution than the traditional synthetic aperture radar (SAR) with less data, which makes it important for military and civilian applications. However, noise, especially active noise jamming will degrade its performance. This paper describes the signal model of the CS imaging radar under noise jamming. Through theoretical analysis and simulation experiments, the influences of different jamming patterns, jamming parameters and reconstruction algorithms on the performance of CS imaging are compared. It can provide reference for the research of anti-jamming technology of CS imaging radar.
2. Harding, B. J. and M. Milla, "Radar imaging with compressed sensing," Radio Science, Vol. 48, No. 5, 582-588, 2013.
3. Cetin, M., et al., "Sparsity-driven synthetic aperture radar imaging: Reconstruction, autofocusing, moving targets, and compressed sensing," IEEE Signal Processing Magazine, Vol. 31, No. 4, 27-40, 2014.
4. Zhu, Q., R. Volz, and J. D. Mathews, "Coherent radar imaging based on compressed sensing," Radio Science, Vol. 50, No. 12, 1271-1285, 2015.
5. Xiao, P., C. Li, and Y. Ze, "Effects of noise, sampling rate and signal sparsity for compressed sensing synthetic aperture radar pulse compression," 2011 IEEE International Geoscience and Remote Sensing Symposium, 656-659, Jul. 2011.
6. Wang, C. Y., et al., "Compressive sensing radar imaging with perturbations," IET International Radar Conference 2013, 1-4, Apr. 2013.
7. Dumper, K., et al., "Spaceborne synthetic aperture radar and noise jamming," Radar Systems (RADAR 97), 411-414, Oct. 1997.
8. Li, F. and Y. Guo, Analysis of Compressed Sensing, Science Press, Beijing, China, 2015.