Hostname: page-component-55f67697df-sqlfs Total loading time: 0 Render date: 2025-05-17T05:03:33.498Z Has data issue: false hasContentIssue false
  • English
  • Français

Noise performance comparison between two different types of time-domain systems for microwave detection

Published online by Cambridge University Press:  27 April 2016

Xuezhi Zeng ,
Albert Monteith ,
Andreas Fhager ,
Mikael Persson  and
Herbert Zirath
Xuezhi Zeng*
Affiliation:
Department of Signals and Systems, Chalmers University of Technology, 412 96 Gothenburg, Sweden. Phone: +46 031 772 1613
Albert Monteith
Affiliation:
Department of Earth and Space Sciences, Chalmers University of Technology, 412 96 Gothenburg, Sweden
Andreas Fhager
Affiliation:
Department of Signals and Systems, Chalmers University of Technology, 412 96 Gothenburg, Sweden. Phone: +46 031 772 1613
Mikael Persson
Affiliation:
Department of Signals and Systems, Chalmers University of Technology, 412 96 Gothenburg, Sweden. Phone: +46 031 772 1613
Herbert Zirath
Affiliation:
Department of Microtechnology and Nanoscience, Chalmers University of Technology, 412 96 Gothenburg, Sweden
*
Corresponding author:X. Zeng, Email: xuezhi@chalmers.se
Get access Rights & Permissions [Opens in a new window]

Abstract

This paper compares the noise performance of two different types of time-domain microwave detection systems: a pulsed system and a pseudo-random noise sequence system. System-level simulations and laboratory-based measurements are carried out in the study. Results show that the effect of timing jitter is more significant on the measurement accuracy of the pseudo-random noise sequence system than that of the pulsed system. Although the signal power density of the pseudo-random sequence system is tens of dBs higher than that of the pulsed system over the frequency band of interest, the signal-to-noise ratio difference between these two systems can be just a few dBs or even smaller depending on the jitter level.

Keywords

Microwave measurementsQuality of life/medical diagnosis and imaging systems
Type
Research Papers
Information
International Journal of Microwave and Wireless Technologies , Volume 9 , Issue 3 , April 2017 , pp. 535 - 542
Copyright
Copyright © Cambridge University Press and the European Microwave Association 2016 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Article purchase

Temporarily unavailable

References

REFERENCES

[1] Meaney, P.M.; Fanning, M.W.; Li, D.; Poplack, S.P.; Paulsen, K.D.: A clinical prototype for active microwave imaging of the breast. IEEE Trans. Microw. Theory Tech., 48 (2000), 1841–1853.Google Scholar
[2] Xu, L.; Bond, E.J.; Van Veen, B.D.; Hagness, S.C.: An overview of ultra-wideband microwave imaging via space-time beamforming for early-stage breast-cancer detection. IEEE Antennas Propag. Mag., 47 (2005), 19–34.Google Scholar
[3] Fhager, A.; Hashemzadeh, P.; Persson, M.: Reconstruction quality and spectral content of an electromagnetic time-domain inversion algorithm. IEEE Trans. Biomed. Eng., 53 (2006), 1594–1604.Google Scholar
[4] Fear, E.C.; Bourqui, J.; Curtis, C.; Mew, D.; Docktor, B.; Romano, C.: Microwave breast imaging with a Monostatic radar-based system: a study of application to patients. IEEE Trans. Microw. Theory Tech., 61 (2013), 2119–2128.Google Scholar
[5] Persson, M.; Fhager, A.; Trefna, H.D.; Yu, Y.; Mckelvey, T.; Pegenius, G.; Karlsson, J.E.; Elam, M.: Microwave-based stroke diagnosis making global prehospital thrombolytic treatment possible. IEEE Trans. Biomed. Eng., 61 (2014), 2806–2817.Google Scholar
[6] Ireland, D.; Bialkowski, M.E.: Microwave head imaging for stroke detection. Progr. Electromagn. Res. M, 21 (2011), 163–175.Google Scholar
[7] Yang, Y.; Fathy, A.E.: Development and implementation of a real time see-through-wall radar system based on FPGA. IEEE Trans. Geosci. Remote Sens., 47 (2009), 1270–1280.Google Scholar
[8] Bassi, M.; Caruso, M.; Khan, M.S.; Bevilacqua, A. et al. : An integrated microwave imaging radar with planar antennas for breast cancer detection. IEEE Trans. Microw. Theory Tech., 61 (2013), 2108–2118.Google Scholar
[9] Zeng, X.; Fhager, A.; He, Z.; Persson, M.; Linner, P.; Zirath, H.: Development of a time domain microwave system for medical diagnostics. IEEE Trans. Instrum. Meas., 63 (2014), 2931–2939.Google Scholar
[10] Daniels, D.: Applications of Impulse Radar Technology. Radar 97 (Conf. Publ. No. 449), Edinburgh, 2009.Google Scholar
[11] Santorelli, A.; Chudzik, M.; Kirshin, E.; Porter, E.; Lujambio, A.; Arnedo, I.; Popovic, M.; Schwartz, J.: Experimental demonstration of pulse shaping for time-domain microwave breast imaging. Progr. Electromagn. Res., 133 (2013), 309–329.Google Scholar
[12] Helbig, M.; Dahlke, K.; Hilger, I.; Kmec, M.; Sachs, J.: Design and test of an imaging system for UWB breast cancer detection. Frequenz, 66 (2012), 387–394.Google Scholar
[13] Saches, J.; Peyerl, P.; Zetik, R.: Stimulation of UWB-sensors: Pulse or maximum sequence? Int. Workshop on UWB Systems, Oulu, Finland, 2003.Google Scholar
[14] Zeng, X.; Fhager, A.; Linner, P.; Persson, M. and Zirath, H.: Design and performance evaluation of a time domain microwave imaging system. Int. J. Microw. Sci. Technol., 2013 (2013), Article ID 735692, 1–11.Google Scholar
[15] Gans, W.L.: Dynamic calibration of waveform recorders and oscilloscopes using pulse standards. IEEE Trans. Instrum. Meas., 39 (1990), 952–957.Google Scholar
[16]Picosecond: Model 3500D Impulse Generator Instruction Manual.Google Scholar
[17]AWG7000 Arbitrary Waveform Generator (Datasheet).Google Scholar
[18]AWG70000 Arbitrary Waveform Generator (Datasheet).Google Scholar
[19]Agilent 86100C Wide-Bandwidth Oscilloscope (Datasheet).Google Scholar