References
- Oppenheim AV, Willsky AS, Nawab SH. Signals and systems. Vol. 2. Englewood Cliffs (NJ): Prentice-Hall; 1983.
- Donoho D. Compressed sensing. IEEE Trans. Inf. Theory. 2006;52:1289–1306.
- Elad M. Optimized projections for compressed sensing. IEEE Trans. Signal Proc. 2007;55:5695–5702.
- Jun L, Mengdao X. Application of compressed sensing in sparse aperture imaging of radar. 2nd Asian-Pacific Conference on Synthetic Aperture Radar. (APSAR); Xian, China; 2009. p. 651–655.
- Tello Alonso M, Lopez-Dekker P, Mallorqui J. A novel strategy for radar imaging based on compressive sensing. IEEE Trans. Geosci. Remote Sens. 2010;48:4285–4295.
- Budillon A, Evangelista A, Schirinzi G. Three-dimensional sar focusing from multipass signals using compressive sampling. IEEE Trans. Geosci. Remote Sens. 2011;49:488–499.
- Stuff M, Thelen B, Garbarino J, Subotic N. Compressive sensing and 3-d radar imaging. Statistical Signal Processing Workshop (ssp), IEEE; Ann Arbor (MI), USA; 2012. p. 540–543.
- Zhang J, Zhu L, Guo Y, Gou X. 2d imaging algorithm of spaceborne sar based on compressive sensing. 5th Global Symposium on Millimeter Waves (gsmm); Harbin, China; 2012. p. 600–603.
- Malhotra R, Singh N, Singh Y. Genetic algorithms: concepts, design for optimization of process controllers. Comput. Inf. Sci. 2011;4:39–54.
- Cumming I, Wong F. Digital processing of synthetic aperture radar data: algorithms and implementaion. Boston (MA): Artech House Inc.; 2005.
- Jihua T, Jinping S, Yuxi Z, Ahmad N, Xiaoyang S. The effects of input signal-to-noise ratio on compressive sensing sar imaging. 2nd International Conference on Signal Processing Systems (ICSPS); Vol. 3; Dalian, China; 2010. p. V3-533–V3-537.
- Tropp J. Greed is good: algorithmic results for sparse approximation. IEEE Trans. Inf. Theory. 2004;50:2231–2242.
- Tropp J, Gilbert A. Signal recovery from random measurements via orthogonal matching pursuit. IEEE Trans. Inf. Theory. 2007;53:4655–4666.