This article is part of the series Inverse Synthetic Aperture Radar.

Open Access Research Article

Adaptive Local Polynomial Fourier Transform in ISAR

Igor Djurović1*, Thayananthan Thayaparan2 and Ljubiša Stanković1

Author Affiliations

1 Electrical Engineering Department, University of Montenegro, Podgorica 81000, Serbia and Montenegro

2 Department of National Defence, Defence R & D Canada - Ottawa, 3701 Carling Avenue, Ottawa, ON, Canada, K1A 0Z4

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EURASIP Journal on Advances in Signal Processing 2006, 2006:036093  doi:10.1155/ASP/2006/36093


The electronic version of this article is the complete one and can be found online at: http://asp.eurasipjournals.com/content/2006/1/036093


Received: 23 May 2005
Revisions received: 14 November 2005
Accepted: 15 November 2005
Published: 27 April 2006

© 2006 Djurović et al.

The adaptive local polynomial Fourier transform is employed for improvement of the ISAR images in complex reflector geometry cases, as well as in cases of fast maneuvering targets. It has been shown that this simple technique can produce significantly improved results with a relatively modest calculation burden. Two forms of the adaptive LPFT are proposed. Adaptive parameter in the first form is calculated for each radar chirp. Additional refinement is performed by using information from the adjacent chirps. The second technique is based on determination of the adaptive parameter for different parts of the radar image. Numerical analysis demonstrates accuracy of the proposed techniques.

References

  1. Y Wang, H Ling, VC Chen, ISAR motion compensation via adaptive joint time-frequency technique. IEEE Transactions on Aerospace and Electronic Systems 34(2), 670–677 (1998). Publisher Full Text OpenURL

  2. S Barbarossa, A Scaglione, GB Giannakis, Product high-order ambiguity function for multicomponent polynomial-phase signal modeling. IEEE Transactions on Signal Processing 46(3), 691–708 (1998). Publisher Full Text OpenURL

  3. A Quinquis, C Ioana, E Radoi, Polynomial phase signal modeling using warping-based order reduction. Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '04), May 2004, Montreal, Quebec, Canada 2, 741–744

  4. SK Wong, E Riseborough, G Duff, Experimental investigations on the distortion of ISAR images using different radar waveforms. in Tech, ed. by . Mem. DRDC Ottawa TM 2003-1996 (Defence Research & Development Canada, Ottawa, Ontario, Canada, 2003)

  5. SK Wong, G Duff, E Riseborough, Distortion in the ISAR (inverse synthetic aperture radar) images from moving targets. Proceedings of IEEE International Conference on Image Processing (ICIP '04), October 2004, Singapore 1, 25–28

  6. T Thayaparan, G Lampropouols, SK Wong, E Riseborough, Application of adaptive joint time-frequency algorithm for focusing distorted ISAR images from simulated and measured radar data. IEE Proceedings - Radar, Sonar and Navigation 150(4), 213–220 (2003). Publisher Full Text OpenURL

  7. V Katkovnik, A new form of the Fourier transform for time-varying frequency estimation. Signal Processing 47(2), 187–200 (1995). Publisher Full Text OpenURL

  8. V Katkovnik, Local polynomial periodogram for time-varying frequency estimation. South African Statistical Journal 29(2), 169–198 (1995)

  9. LJ Stanković, S Djukanović, Order adaptive local polynimial FT based interference rejection in spread spectrum communication systems. Proceedings of IEEE International Symposium on Intelligent Signal Processing (WISP '03), September 2003, Budapest, Hungary

  10. RG Baraniuk, P Flandrin, AJEM Jensen, OJJ Michel, Measuring time-frequency information content using Rényi entropy. IEEE Transactions on Information Theory 47(4), 1391–1409 (2001). Publisher Full Text OpenURL

  11. LJ Stanković, A measure of some time-frequency distributions concentration. Signal Processing 81(3), 621–631 (2001). Publisher Full Text OpenURL

  12. T-H Sang, WJ Williams, Rényi information and signal-dependent optimal kernel design. Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '95), May 1995, Detroit, Mich, USA 2, 997–1000

  13. I Djurović, LJ Stanković, Moments of multidimensional polynomial FT. IEEE Signal Processing Letters 11(11), 879–882 (2004). Publisher Full Text OpenURL

  14. M Daković, I Djurović, LJ Stanković, Adaptive local Fourier transform. Proceedings of the 11th European Signal Processing Conference (EUSIPCO '02), September 2002, Toulouse, France 2, 603–606

  15. Y Wei, G Bi, Efficient analysis of time-varying multi-component signals with modified LPTFT. EURASIP Journal on Applied Signal Processing 2005(8), 1261–1268 (2005). Publisher Full Text OpenURL

  16. I Pitas, AN Venetsanopoulos, Nonlinear Digital Filters: Principles and Applications (Kluwer Academic, Boston, Mass, USA, 1990)

  17. I Djurović, LJ Stanković, JF Böhme, Robust L-estimation based forms of signal transforms and time-frequency representations. IEEE Transactions on Signal Processing 51(7), 1753–1761 (2003). Publisher Full Text OpenURL

  18. JB Allen, LR Rabiner, A unified approach to short-time Fourier analysis and synthesis. Proceedings of the IEEE 65(11), 1558–1564 (1977)