An approach to forward looking FMCW radar imaging based on two-dimensional Chirp-Z transform

Airborne forward looking radar imaging, which is an important work mode of imaging radar system, has many advantages combined with frequency modulated continuous wave (FMCW) technology. This paper studies the configuration with one central antenna element for signal transmitting and other antenna elements for signal receiving. According to its imaging geometry, the analytical expression of the received signal for forward looking imaging radar based on FMCW is given. By performing the equivalent phase center principle, the received signal is equalized to the case of system configuration with antenna both for transmitting and receiving signals. The Doppler frequency shift effect, induced by the platform’s continuous motion while radar transmits and receives signals, is analyzed in detail and the approximate compensation method is shown. Based on this, a novel method for forward looking FMCW radar imaging is developed, which adopts two-dimensional Chirp-Z transform to implement scaling operation. Also the complete derivation process of the algorithm and the expression of each compensation factor are presented. The whole algorithm only includes FFT and complex multiplication, with interpolation free, and is easy to implement in reality. Simulation results verify the correctness of the analysis and the validity of the proposed algorithm.

[1]  Alberto Moreira,et al.  Extended chirp scaling algorithm for air- and spaceborne SAR data processing in stripmap and ScanSAR imaging modes , 1996, IEEE Trans. Geosci. Remote. Sens..

[2]  Michael Inggs,et al.  SYNTHETIC APERTURE RADAR FOR REMOTE SENSING , 1996 .

[3]  Peter Hoogeboom,et al.  Modified range-Doppler processing for FM-CW synthetic aperture radar , 2006, IEEE Geoscience and Remote Sensing Letters.

[4]  Ru-liang Yang,et al.  Research of Chirp Scaling Imaging Algorithm for Air-borne Forward-looking SAR: Research of Chirp Scaling Imaging Algorithm for Air-borne Forward-looking SAR , 2011 .

[5]  Zhihong Jiang,et al.  A Chirp Transform Algorithm for Processing Squint Mode FMCW SAR Data , 2007, IEEE Geoscience and Remote Sensing Letters.

[6]  Gerhard Krieger,et al.  Sector imaging radar for enhanced vision (SIREV): simulation and processing techniques , 2000, Defense, Security, and Sensing.

[7]  Gerhard Krieger,et al.  Sector imaging radar for enhanced vision , 2003 .

[8]  J. D. de Wit,et al.  Development of a high resolution airborne millimeter wave FM-CW SAR , 2004, First European Radar Conference, 2004. EURAD..

[9]  Adriano Meta,et al.  Signal processing algorithms for FMCW moving target indicator synthetic aperture radar , 2005, Proceedings. 2005 IEEE International Geoscience and Remote Sensing Symposium, 2005. IGARSS '05..

[10]  Alberto Moreira,et al.  Spotlight SAR data processing using the frequency scaling algorithm , 1999, IEEE Trans. Geosci. Remote. Sens..

[11]  Gerhard Krieger,et al.  Multidimensional Waveform Encoding: A New Digital Beamforming Technique for Synthetic Aperture Radar Remote Sensing , 2008, IEEE Transactions on Geoscience and Remote Sensing.

[12]  Michael Wendler,et al.  Sector imaging radar for enhanced vision (SIREV): theory and applications , 2000, Defense, Security, and Sensing.

[13]  M. Edrich Ultra-lightweight synthetic aperture radar based on a 35 GHz FMCW sensor concept and online raw data transmission , 2006 .