Wang Liang, Wang Jian, Huang Xiao-tao, Zhou Zhi-min. Research on Phase Compensating Factors in Chirp Scaling Algorithm[J]. Journal of Electronics & Information Technology, 2007, 29(1): 6-11. doi: 10.3724/SP.J.1146.2005.00634
Citation:
Wang Liang, Wang Jian, Huang Xiao-tao, Zhou Zhi-min. Research on Phase Compensating Factors in Chirp Scaling Algorithm[J]. Journal of Electronics & Information Technology, 2007, 29(1): 6-11. doi: 10.3724/SP.J.1146.2005.00634
Wang Liang, Wang Jian, Huang Xiao-tao, Zhou Zhi-min. Research on Phase Compensating Factors in Chirp Scaling Algorithm[J]. Journal of Electronics & Information Technology, 2007, 29(1): 6-11. doi: 10.3724/SP.J.1146.2005.00634
Citation:
Wang Liang, Wang Jian, Huang Xiao-tao, Zhou Zhi-min. Research on Phase Compensating Factors in Chirp Scaling Algorithm[J]. Journal of Electronics & Information Technology, 2007, 29(1): 6-11. doi: 10.3724/SP.J.1146.2005.00634
In this paper the two-dimensional frequency expression of SAR echoes are first analyzed. Then, the standard chirp scaling algorithm and its several modified forms used both in high frequency narrow band SAR and low frequency Ultra WideBand (UWB) SAR are compared in a united frame of two-dimensional frequency expression. The approximations made by different algorithms are evaluated in detail. So a new depiction for SAR image formation is proposed, which is a process of constructing phase compensating factors in frequency or time domain according to the characteristics of echo spectrum. Especially, the accuracy of phase compensating factors for UWB SAR echoes has a direct impact on point targets focusing. Simulation results verify that the modified non-linear chirp scaling algorithm, which can compensate the more third orders phase coupling, can arrive an ideal focusing UWB SAR image in the certain of scope. Further more, the algorithm has been used successfully in raw UWB SAR data processing.
[1] Jin M Y and Wu C. A SAR correction algorithm which accommodates large-range migration [J]. IEEE Trans. on Geoscience and Remote Sensing, 1984, GE-22(6): 592-597. [2] Namler R and Runge H. A novel processing SAR focussing algorithm based on chirp scaling. Proc. of IGARSS92, Clear Lake, TX, May. 1992: 372-375. [3] Moreira A and Huang Yonghong. Airborne SAR processing of highly squinted data using a chirp scaling approach with integrated motion compensation [J].IEEE Trans. on Geoscience and Remote Sensing.1994, 32(5):1029-1040 [4] Davidson G W, Cumming I G, and Ito M R. A chirp scaling approach for processing squint mode SAR data[J].IEEE Trans. on Aerospace and Electronics Systems.1996, 32(1):121-133 [5] 刘光平. 超宽带SAR高效成像算法研究[D]. [博士论文]. 长沙: 国防科学技术大学, 2003. [6] Raney R K. A new and fundamental Fourier transform pair. Proc. of IGARSS92, Clear Lake, TX, May 1992: 106-107. [7] Huang Xiaotao and Wang Liang. Non-orthogonal sidelobe suppression in image formation of ultra wide bandwidth SAR. Proc. of EUSAR04. Ulm, Germany, May 2004: 199-202. [8] 刘永坦. 雷达成像技术[M]. 哈尔滨: 哈尔滨工业大学出版社, 1999: 169-170.