volume | PIER Journals

Abstract

Multicarrier Phase-Coded signals have been recently introduced to achieve high range resolution in radar systems. As in single carrier phase coded radars, the conventional method for compression of these signals is based on using matched filter or direct computation of autocorrelation function. In this paper we propose a new method based on Discrete Fourier Transform (DFT) that has lower computational complexity compared to the conventional approach. It has been proved that the proposed method is mathematically equivalent to matched filtering, so there is no processing loss. Also the effect of sampling frequency on compression loss has been investigated and for the oversampled matched filter of MCPC signals, a computational efficient algorithm based on polyphase implementation has been proposed.

1. Lee, K.-C., C.-W. Huang, and M.-C. Fang, "Radar target recognition by projected features of frequency diversity RCS," Progress In Electromagnetics Research, Vol. 81, 121-133, 2008.
doi:10.2528/PIER08010206 Google Scholar

2. Jung, J.-H. and H.-T. Kim, "Comparisons of for feature extraction approaches basedon Fisher's linear discriminant criterion in radar target recognition ," Journal of Electromagnetic Waves and Applications, Vol. 21, No. 2, 251-265, 2007.
doi:10.1163/156939307779378781 Google Scholar

3. Shi, Z. G., S. Qiao, and K. S. Chen, "Ambiguity functions of direct chaotic radar employing microwave chaotic Colpitts oscillator," Progress In Electromagnetics Research, Vol. 77, 1-14, 2007.
doi:10.2528/PIER07072001 Google Scholar

4. Jankiraman, M., B. J. Wessels, and P . V. Genderen, "Design of a multi-frequency FMCW radar," Proc. of 28th European Microwave Conference, Vol. 1, 584-589, Amsterdam, October 1998. Google Scholar

5. Jankiraman, M., B. J. Wessels, and P . V. Genderen, "System design and verification of the PANDORA multifrequency radar," Proc. of 5th Int. Conference on Radar Systems, Brest, France, 1999. Google Scholar

6. Jankiraman, M., B. J. Wessels, and P . V. Genderen, "Ambiguity analysis of pandora multifrequency FMCW/SFCW radar ," Proc. of the IEEE 2000 International Radar Conference, 35-41, May 2000. Google Scholar

7. Levenon, N., "Multifrequency radar signals," Proc. of the IEEE 2000 International Radar Conference, 683-688, May 2000. Google Scholar

8. Levenon, N., "Multifrequency complementary phase-coded radar signal ," IEE Proc. Radar, Sonar Navig., Vol. 147, No. 6, 276-284, December 2000.
doi:10.1049/ip-rsn:20000734 Google Scholar

9. Mozeson, E. and N. Levenon, "Multicarrier radar signals with low peak-to-mean envelope ratio," IEE Proc. Radar, Sonar Navig., Vol. 150, No. 2, 71-77, April 2003.
doi:10.1049/ip-rsn:20030263 Google Scholar

10. Levenon, N. and E. Mozeson, "Multicarrier radar signal — Pulse train and CW," IEEE Trans. AES, Vol. 38, No. 2, 707-720, April 2002. Google Scholar

11. Levenon, N., "Train of diverse multifrequency radar pulses," Proc. of the 2001 IEEE Radar Conf., 93-98, May 2001. Google Scholar

12. Prasad, N. N. S. S. R. K., V. Shameem, U. B. Desai, and S. N. Merchant, "Improvement in target detection performance of pulse coded Doppler radar based on multicarrier modulation with fast Fourier transform (FFT)," IEE Proc. Radar, Sonar Navig. , Vol. 151, No. 1, 11-17, February 2004.
doi:10.1049/ip-rsn:20040119 Google Scholar

13. Singh, S. P. and K. S. Rao, "Pulse train of multicarrier complementary phase coded radar signal for favourable autocorrelation andam biguity function ," Proc. International Conference on Systemics, Cybernetics, and Informatics (ICSCI 2005), 81-86, India, January 2005. Google Scholar

14. Franken, G. E. A., H. Nikookar, and P . Van Gendern, "Doppler tolerance of OFDM-coded radar signals," Proc. of the 3rd European Radar Conference, 108-111, September 2006.
doi:10.1109/EURAD.2006.280285 Google Scholar

15. Levenon, N. and E. Mozeson, Radar Signals, John Wiley & Sons, Inc., 2004.

16. Kim, J.-H. and Y.-H. You, "PILOT-frequency tracking method for ultra-wideband receivers," Progress In Electromagnetics Research, Vol. 82, 65-75, 2008.
doi:10.2528/PIER08021301 Google Scholar

17. Shim, E.-S. and Y.-H. You, "Parameter estimation and error reduction in multicarrier system by time-domain spreading," Progress In Electromagnetics Research B, Vol. 7, 1-12, 2008.
doi:10.2528/PIERB08031001 Google Scholar

18. Nam, S.-H., J.-S. Yoon, and H.-K. Song, "An elaborate frequency offset estimation for OFDM systems," Progress In Electromagnetics Research Letters , Vol. 4, 33-41, 2008.
doi:10.2528/PIERL08051204 Google Scholar

19. Park, S. H. and H. T. Kim, "Stepped-frequency ISAR motion compensation using particle SWARM optimization with an island model," Progress In Electromagnetics Research, Vol. 85, 25-37, 2008. Google Scholar

20. Oppenheim, A. V. and R. W. Schafe, Discrete Time Signal Processing, Prentice-Hall, 1999.

21. Vaidyanathan, P. P., Multirate Systems and Filter Banks, Prentice-Hall, 1993.

22. Sorensen, H. V. and C. S. Burms, "Efficient computation of the DFT with only a subset of input or output points," IEEE Trans. on Signal Processing, Vol. 41, No. 3, 1184-1200, March 1993.
doi:10.1109/78.205723 Google Scholar

Dr. Reza Mohseni

Dr. Abbas Sheikhi

Dr. Mohammad Ali Masnadi-Shirazi