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PIER PIER B PIER C PIER M PIER Letters
2011-05-27
The Effects of Compression on Ultra Wideband Radar Signals
By
Brian McGinley,

    Dr. Brian McGinley

    College of Engineering and Informatics

    National University of Ireland Galway

    Ireland

    Homepage

Martin O'Halloran,

    Dr. Martin O'Halloran

    Electronic and Electrical Engineering

    National University of Ireland Galway

    Ireland

    Homepage

Raquel Cruz Conceicao,

    Dr. Raquel Cruz Conceicao

    Faculdade de Ciências - Universidade de Lisboa

    Instituto de Biofísica e Engenharia Biomédica

    Portugal

    Homepage

Garry Higgins,

    Dr. Garry Higgins

    National University of Ireland Galway

    Ireland

    Homepage

Edward Jones,

    Dr. Edward Jones

    Electronic and Electrical Engineering

    National University of Ireland Galway

    Ireland

    Homepage

Martin Glavin

    Dr. Martin Glavin

    Electronic and Electrical Engineering

    National University of Ireland Galway

    Ireland

    Homepage

Progress In Electromagnetics Research, Vol. 117, 51-65, 2011
doi:10.2528/PIER11032805
Abstract
Over the past ten years, Ultra Wideband (UWB) Radar has been widely investigated as a biomedical imaging modality, used to detect early-stage breast cancer and to continuously monitor vital signs using both wearable and contactless devices. The advantages of the technology in terms of low-power requirements and non-ionising radiation are well recognised, with the technology being applied to a range of non-invasive medical applications, from respiration to heart monitoring. Across all these applications, there is a strong necessity to efficiently manage the large quantities of UWB data which will be captured. For wearable devices in particular, the efficient compression of UWB data allows the monitoring system to conserve limited resources such as memory and battery capacity, by reducing data storage and in some cases transmission requirements. In contrast to lossless compression techniques, lossy compression algorithms can achieve higher compression ratios and consequently greater power savings, at the expense of a marginal degradation of the reconstructed signal. This paper compares the lossy JPEG2000 and Set Partitioning In Hierarchical Trees (SPIHT) algorithms for UWB signal compression. This study examines the effects of lossy signal compression on an UWB breast cancer classification algorithm. This particular application was chosen because the classification algorithm relies heavily on shape and surface texture detail embedded in the Radar Target Signature (RTS) of the tumour, and therefore will provide both a robust and easily quantifiable test platform for the compression algorithms. The study will evaluate the performance of the classification algorithm as a function of Compression Ratio (CR) and Percentage Root-mean-square Difference (PRD) between the original and reconstructed UWB signals.
Citation
Brian McGinley, Martin O'Halloran, Raquel Cruz Conceicao, Garry Higgins, Edward Jones, and Martin Glavin, "The Effects of Compression on Ultra Wideband Radar Signals," Progress In Electromagnetics Research, Vol. 117, 51-65, 2011.
doi:10.2528/PIER11032805
References

1. Lazaro, A., D. Girbau and R. Villarino, "Simulated and experimental investigation of microwave imaging using UWB," Progress In Electromagnetics Research, Vol. 94, 263-280, 2009.
doi:10.2528/PIER09061004

2. O'Halloran, M., E. Jones, and M. Glavin, "Channel-ranked beamformer for the early detection of breast cancer," Progress In Electromagnetics Research, Vol. 103, 153-168, 2010.
doi:10.2528/PIER10030902

3. Maskooki, A., E. Gunawan, C. B. Soh, and K. S. Low, "Frequency domain skin artifact removal method for ultra-wideband breast cancer detection ," Progress In Electromagnetics Research, Vol. 98, 299-314, 2009.
doi:10.2528/PIER09101302

4. AlShehri, S. A. and S. Khatun, "UWB imaging for breast cancer detection using neural network," Progress In Electromagnetics Research C, Vol. 7, 79-93, 2009.
doi:10.2528/PIERC09031202

5. Zainud-Deen, S. H., W. M. Hassen, E. El Deen Ali, and K. H. Awadalla, "Breast cancer detection using a hybrid finite difference frequency domain and particle swarm optimization techniques," Progress In Electromagnetics Research B, Vol. 3, 35-46, 2008.
doi:10.2528/PIERB07112703

6. Zhou, H., T. Takenaka, J. Johnson, and T. Tanaka, "A breast imaging model using microwaves and a time domain three dimensional reconstruction method," Progress In Electromagnetics Research, Vol. 93, 57-70, 2009.
doi:10.2528/PIER09033001

7. Fear, E., J. Sill, and M. Stuchly, "Microwave system for breast tumor detection: experimental concept evaluation," IEEE APS International Symposium and USNC/URSI Radio Science Meeting, Vol. 1, 819-822, June 2000.

8. Khalaj Amineh, R., A. Trehan, and N. K. Nikolova, "TEM horn antenna for ultra-wide band microwave breast imaging," Progress In Electromagnetics Research B, Vol. 13, 59-74, 2009.
doi:10.2528/PIERB08122213

9. Li, X. and S. C. Hagness, "A confocal microwave imaging algorithm for breast cancer detection," IEEE Microwave and Wireless Components Letters, Vol. 11, No. 3, 130-132, 2001.
doi:10.1109/7260.915627

10. Li, X., E. J. Bond, B. D. V. Veen, and S. C. Hagness, "An overview of ultra-wideband microwave imaging via space-time beamforming for early-stage breast-cancer detection," IEEE Antennas and Propagation Magazine, Vol. 47, No. 1, 19-34, February 2005.
doi:10.1109/MAP.2005.1436217

11. O'Halloran, M., E. Jones, and M. Glavin, "Effects of ¯broglandular distribution on data-independent beamformering algorithms," Progress In Electromagnetics Research, Vol. 97, 141-158, 2009.
doi:10.2528/PIER09081701

12. O'Halloran, M., M. Glavin, and E. Jones, "Quasi-multistatic MIST beamforming for the early detection of breast cancer," IEEE Trans. Biomed. Eng., Vol. 57, No. 4, 830-840, 2009.
doi:10.1109/TBME.2009.2016392

13. Zhang, H., S. Tan, and H. Tan, "A novel method for microwave breast cancer detection," Progress In Electromagnetics Research, Vol. 83, 413-434, 2008.
doi:10.2528/PIER08062701

14. Bindu, G., S. J. Abraham, A. Lonappan, V. Thomas, C. K. Aanandan, and K. T. Mathew, "Active microwave imaging for breast cancer detection," Progress In Electromagnetics Research, Vol. 58, 149-169, 2006.
doi:10.2528/PIER05081802

15. Conceicao, R. C., M. O'Halloran, M. Glavin, and E. Jones, "Support vector machines for the classification of early-stage breast cancer based on radar target signatures," Progress In Electromagnetics Research B, Vol. 23, 311-327, 2010.
doi:10.2528/PIERB10062407

16. McGinley, B., M. O'Halloran, R. C. Conceicao, F. Morgan, M. Glavin, and E. Jones, "Spiking neural networks for breast cancer classification using radar target signatures," Progress In Electromagnetics Research C, Vol. 17, 79-94, 2010.
doi:10.2528/PIERC10100202

17. O'Halloran, M., B. McGinley, R. C. Conceicao, F. Morgan, E. Jones, and M. Glavin, "Spiking neural networks for breast cancer classification in a dielectrically heterogeneous breast," Progress In Electromagnetics Research, Vol. 113, 413-428, 2011.

18. Ziganshin, E., M. Numerov, and S. Vygolov, "UWB baby monitor,", 159-161, 2010.

19. Staderini, E., "UWB radars in medicine," IEEE Aerospace and Electronic Systems Magazine, Vol. 17, No. 1, 13-18, January 2002.
doi:10.1109/62.978359

20. Chia, M., S. Leong, C. Sim, and K. Chan, "Through-wall UWB radar operating within fcc's mask for sensing heart beat and breathing rate,", 267-270, 2005.

21. Zito, D., D. Pepe, B. Neri, and D. De Rossi, "Feasibility study of a low-cost system-on-a-chip UWB pulse radar on silicon for the heart monitoring,", 32-36, 2007.

22. Otto, C., A. Milenkovic, C. Sanders, and E. Jovanov, "System architecture of a wireless body area sensor network for ubiquitous health monitoring," Journal of Mobile Multimedia, Vol. 1, No. 4, 307-326, 2006.

23. Adams, M., "The JPEG-2000 still image compression standard," ISO/IEC JTC 1/SC 29/WG 1 N 2412., 2001.

24. Said, A. and W. Pearlman, "A new, fast, and e±cient image codec based on set partitioning in hierarchical trees," IEEE Transactions on Circuits and Systems for Video Technology, Vol. 6, No. 3, 243-250, 2002.
doi:10.1109/76.499834

25. Unser, M. and A. Aldroubi, "A review of wavelets in biomedical applications," Proceedings of the IEEE, Vol. 84, No. 4, 626-638, 2002.
doi:10.1109/5.488704

26. Mallat, S., "A Wavelet Tour of Signal Processing," Academic Press, 1999.

27. Daubechies, I., "Orthonormal bases of compactly supported wavelets,", Vol. 41, No. 7, 909-996, 1988.

28. Graps, A., "An introduction to wavelets," IEEE Computational Science & Engineering, Vol. 2, No. 2, 50-61, 1995.
doi:10.1109/99.388960

29. "ISO/IEC 15444-1:2000," ISO | International Organization for Standardization Std., 2000.

30. Higgins, G.S. Faul, R. McEvoy, B. McGinley, M. Glavin, W. Marnane, and E. Jones, "EEG compression using JPEG2000: How much loss is too much?," 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 614-617, 2010.
doi:10.1109/IEMBS.2005.1617159

31. Nguyen, M. and R. Rangayyan, "Shape analysis of breast masses in mammograms via the fractial dimension," Engineering in Medicine and Biology 27th Annual Conference, 3210-3213, 2005.

32. Muinonen, K., "Introducing the gaussian shape hypothesis for asteroids and comets," Astronomy and Astrophysics, Vol. 332, 1087-1098, 1998.

33. Muinonen, K., "Light Scattering by Stochastically Shaped Particles.," Academic Press, 2000.
doi:10.1109/TBME.2007.900564

34. Davis, S. K., B. D. V. Veen, S. C. Hagness, and F. Kelcz, "Breast tumor characterization based on ultrawideband backscatter," IEEE Trans. Biomed. Eng., Vol. 55, No. 1, 237-246, 2008.

35. Taflove, A. and S. C. Hagness, "Computational Electrodynamics: The Finite-difference Time-domain Method," Artech House, June 2005.
doi:10.1002/cpa.3160450502

36. Cohen, A., I. Daubechies, and J. Feauveau, "Biorthogonal bases of compactly supported wavelets," Communications on Pure and Applied Mathematics, Vol. 45, No. 5, 485-560, 1992.

37. Lu, Z., D. Kim, and W. Pearlman, "Wavelet compression of ECG signals by the set partitioning in hierarchical trees algorithm," IEEE Transactions on Biomedical Engineering, Vol. 47, No. 7, 849-856, 2002.

38. Hilton, M., "Wavelet and wavelet packet compression of electrocardiograms," IEEE Transactions on Biomedical Engineering, Vol. 44, No. 5, 402, 2002.

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