Fast Forward Scatter Shadow Inverse Synthetic Aperture Radar Imaging Algorithm Based on Phase Compensation
Liu Chang-jiang① Hu Cheng①② Zeng Tao①② Zhou Chao①
①(School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China) ②(Beijing Key Laboratory of Embedded Real-time Information Processing Technology, Beijing Institute of Technology, Beijing 100081, China)
The numerical calculation of forward scatter Shadow Inverse Synthetic Aperture Radar (SISAR) imaging is usually performed by the Fresnel numerical integral which is complicated and time consuming. To improve the calculation speed, the fast SISAR imaging method is investigated. Firstly, a fast imaging method based on the Fast Fourier Transform (FFT) is proposed while the phase errors introduced by the FFT are compensated. Then, through the analysis of the spectrum on the motion compensated signal, the sampling law for SISAR imaging is given, indicating that signals used for imaging can be sampled at a rate much lower than the Nyquist sampling rate. Simulation results show that the proposed fast imaging method can give accurate profiles and significantly reduce the computation, which is of practical meaning in engineering application.
Glaser J I. Bistatic RCS of complex targets in forward scatter[J]. IEEE Transactions on Aerospace and Electronics Systems, 1985, 21(1): 70-78.
[2]
Glaser J I. Some results in the bistatic radar cross section (RCS) of complex objects[J]. Proceedings of the IEEE, 1989, 77(5): 639-648.
[3]
Suberviola I, Mayordomo I, and Mendizabal J. Experimental results of air target detection with a GPS forward scattering radar[J]. IEEE Geoscience and Remote Sensing Letters, 2012, 9(1): 47-51.
[4]
Gashinova M, Daniel L, Sizov V, et al.. Phenomenology of Doppler forward scatter radar for surface targets observation [J]. IET Radar, Sonar & Navigation, 2013, 7(4): 422-432.
[5]
Kabakchiev C, Behar V, Garvanov I, et al.. Detection, parametric imaging and classification of very small marine targets emerged in heavy sea clutter utilizing GPS-based Forward Scattering Radar[C]. 2014 IEEE International Conference on Acoustics, Speech and Signal Processing, Florence, Italy, 2014: 793-797.
[6]
Abdullah N F, Rashid N E A, Othman K A, et al.. Vehicles classification using Z-score and modelling neural network for forward scattering radar[C]. Proceedings of 15th International Radar Symposium, Lviv, Ukraine, 2014: 1-4.
[7]
Cheng Hu, Sizov V, Antoniou M, et al.. Optimal signal processing in ground-based forward scatter micro radars[J]. IEEE Transactions on Aerospace and Electronics Systems, 2012, 48(4): 3006-3026.
[8]
Hu Cheng, Zhou Chao, Zhu Can-yan, et al.. Forward scatter radar SISAR imaging: theory and primary experimental results analysis[C]. Proceedings of 14th International Radar Symposium, Dresden, Germany, 2013: 643-648.
[9]
Hu Cheng, Zhou Chao, Zeng Tao, et al.. Radio holography signal reconstruction and shadow inverse synthetic aperture radar imaging in ground-based forward scatter radar: theory and experimental results[J]. IET Radar, Sonar & Navigation, 2014, 8(8): 907-916.
[10]
Chapurskiy V V. Image construction from one-dimensional radioholograms synthesized at small angles of diffraction[J]. Radiotekhnika i Elektronika, 1988, 33: 1747-1756.
[11]
Surikov B S, Khasina E S, and Chapurskiy V V. Correlation and spectral functions of one-dimensional radio holograms synthesized at small diffraction angles[J]. Radiotekhnika i Elektronika, 1989, XXXIY: 409-419.
[12]
Chapurskiy V V and Sablin V N. SISAR: shadow inverse synthetic aperture radiolocation[C]. The Record of the IEEE 2000 International Radar Conference, Washington DC, USA, 2000: 322-328.
[13]
Luo Ying, Hu Dong-liang, Luo Bin-feng, et al.. Motion compensation for SISAR based on contrast maximization[C]. 1st Asian and Pacific Conference on Synthetic Aperture Radar, Huangshan, China, 2007: 431-434.
[14]
Cao Yun-he, Zhang Tao, Luo Bin-feng, et al.. Experimental results for shadow inverse synthetic aperture radar[C]. Proceedings of 2009 IET Radar Conference, Guilin, China, 2009: 1-3.
[15]
Zeng Tao, Li Xiao-liang, and Hu Cheng. Investigation on accurate signal modeling and imaging of the moving target in ground-based forward scatter radar[J]. IET Radar, Sonar & Navigation, 2011, 5(8): 862-870.
[16]
Hu Cheng, Li Xiao-liang, Long Teng, et al.. An accurate SISAR imaging method of ground moving target in forward scatter radar[J]. SCIENCE CHINA Information Sciences, 2012, 55(10): 2269-2280.
[17]
Liu Chang-jiang, Hu Cheng, Xu Jia, et al.. Modified signal modeling and imaging method of non-perpendicular crossing targets in forward scatter radar[C]. Proceedings of 2014 IEEE Radar Conference, Cincinnati, USA, 2014: 291-295.
