volume | PIER Journals

2020-10-21

Effect of Noise Jamming on Compressed Sensing SAR Imaging

Xiaohong Lin,

Dr. Xiaohong Lin

Homepage

Zhifeng Cheng,

Dr. Zhifeng Cheng

Naval University of Engineering

China

Homepage

Xin Man,

Dr. Xin Man

College of Electronic Engineering

Naval University of Engineering

China

Homepage

Wei Tian

Dr. Wei Tian

Naval University of Engineering

China

Homepage

Progress In Electromagnetics Research Letters, Vol. 94, 43-48, 2020

doi:10.2528/PIERL20072404

Abstract

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.

Citation

Copy Export

Xiaohong Lin, Zhifeng Cheng, Xin Man, and Wei Tian, "Effect of Noise Jamming on Compressed Sensing SAR Imaging," Progress In Electromagnetics Research Letters, Vol. 94, 43-48, 2020.
doi:10.2528/PIERL20072404

References

1. Liu, H., D. Li, Y. Zhou, et al. "Simultaneous radio frequency and wideband interference suppression in SAR signals via sparsity exploitation in time-frequency domain," IEEE Transactions on Geoscience and Remote Sensing, Vol. 56, No. 10, 1-14, 2018.
doi:10.1109/TGRS.2018.2871305

2. Harding, B. J. and M. Milla, "Radar imaging with compressed sensing," Radio Science, Vol. 48, No. 5, 582-588, 2013.
doi:10.1002/rds.20063

3. Cetin, M., I. Stojanovic, N. O. Onhon, 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.
doi:10.1109/MSP.2014.2312834

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.
doi:10.1002/2015RS005688

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., Y. P. He, K. R.Wang, et al. "Compressive sensing radar imaging with perturbations," IET International Radar Conference 2013, 1-4, Apr. 2013.

7. Dumper, K., P. S. Cooper, A. F. Wons, 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, 2015.