volume | PIER Journals

Abstract

A main defect of far-field (FF) measurement techniques is long measurement time, which often leads to the problem of inefficient use of measurement facilities that is a strong limiting factor in many measurements. To solve this problem, in this study, we propose a technique to accelerate the antenna measurement that is achieved by sparse test results in the FF measurement system. In the data processing part of the measurement, the concept of the quadrature analog-to-information conversion (QAIC), which make the approach both efficient and easy to implement in existing FF measurement facilities, is discussed. Simulations are provided to show this low-speed uniform sampling approach. The proposed strategy is then applied to measure the pattern of a standard rectangular horn antenna in an anechoic chamber. The experimental results demonstrate that our technique can reduce the measuring time by at least 34.4% while guaranteeing the measurement accuracy. These results demonstrate the potentials of the method.

1. Foged, L., O. Breinbjerg, S. Pivnenko, G. Di Massa, and C. Sabatier, "Antenna measurement facility comparison within the European antenna centre of excellence," 2005 European IEEE Microwave Conference, Vol. 2, 4-792, 2005.

2. Nie, J., X. Li, G. Lou, and B. Gong, "Research of the objects characteristics and radiometric equation with sub-millimeter wave radiometer," Journal of Microwaves, Vol. 26, No. 5, 82-86, 2010.

3. Li, P. and L. J. Jiang, "An iterative source reconstruction method exploiting phaseless electric field data," Progress In Electromagnetics Research, Vol. 134, 419-435, 2013.
doi:10.2528/PIER12102105

4. Li, P., Y. Li, L. J. Jiang, and J. Hu, "A wide-band equivalent source reconstruction method exploiting the Stoer-Bulirsch algorithm with the adaptive frequency sampling," IEEE Transactions on Antennas and Propagation, Vol. 61, No. 10, 5338-5343, Oct. 2013.
doi:10.1109/TAP.2013.2274032

5. Donoho, D. L., "Compressed sensing," IEEE Transactions on Information Theory, Vol. 52, No. 4, 1289-1306, Apr. 2006.
doi:10.1109/TIT.2006.871582

6. Baraniuk, R. G., "Compressive sensing [lecture notes]," IEEE Signal Processing Magazine, Vol. 24, No. 4, 118-121, 2007.
doi:10.1109/MSP.2007.4286571

7. Candes, E. J. and M. B.Wakin, "An introduction to compressive sampling," IEEE Signal Processing Magazine, Vol. 25, No. 2, 21-30, Mar. 2008.
doi:10.1109/MSP.2007.914731

8. Kirolos, S., et al. "Analog-to-information conversion via random demodulation," 2006 IEEE Dallas/CAS Workshop on Design, Applications, Integration and Software, 71-74, IEEE, 2006.
doi:10.1109/DCAS.2006.321036

9. Slavinsky, J. P., J. N. Laska, M. A. Davenport, and R. G. Baraniuk, "The compressive multiplexer for multi-channel compressive sensing," 2011 IEEE International Conference on IEEE Acoustics, Speech and Signal Processing (ICASSP), 3980-3983, 2011.
doi:10.1109/ICASSP.2011.5947224

10. Zhao, Y. J., Y. H. Hu, and J. J. Liu, "Random triggering-based sub-nyquist sampling system for sparse multiband signal," IEEE Transactions on Instrumentation and Measurement, Vol. 66, No. 7, 1789-1797, Jul. 2017.
doi:10.1109/TIM.2017.2665983

11. Rani, M., S. B. Dhok, and R. B. Deshmukh, "A systematic review of compressive sensing: Concepts, implementations and applications," IEEE Access, Vol. 6, 4875-4894, 2018.
doi:10.1109/ACCESS.2018.2793851

12. Haque, T., R. T. Yazicigil, K. J. L. Pan, J. Wright, and P. R. Kinget, "Theory and design of a quadrature analog-to-information converter for energy-efficient wideband spectrum sensing," IEEE Transactions on Circuits and Systems I — Regular Papers, Vol. 62, No. 2, 527-535, Feb. 2015.
doi:10.1109/TCSI.2014.2360756

13. Duarte, M. F., et al. "Single-pixel imaging via compressive sampling," IEEE Signal Processing Magazine, Vol. 25, No. 2, 83-91, Mar. 2008.
doi:10.1109/MSP.2007.914730

14. Lustig, M., D. L. Donoho, J. M. Santos, and J. M. Pauly, "Compressed sensing MRI," IEEE Signal Processing Magazine, Vol. 25, No. 2, 72-82, Mar. 2008.
doi:10.1109/MSP.2007.914728

15. Wang, M., W. Yu, and R. Wang, "Azimuth multichannel SAR imaging based on compressed sensing," Progress In Electromagnetics Research, Vol. 141, 497-516, 2013.
doi:10.2528/PIER13052205

16. Lin, X.-H., G.-Y. Xue, and P. Liu, "Novel data acquisition method for interference suppression in dual-channel SAR," Progress In Electromagnetics Research, Vol. 144, 79-92, 2014.
doi:10.2528/PIER13111207

17. Massa, A., P. Rocca, and G. Oliveri, "Compressive sensing in electromagnetics — A review," IEEE Antennas and Propagation Magazine, Vol. 57, No. 1, 224-238, Feb. 2015.
doi:10.1109/MAP.2015.2397092

18. Giordanengo, G., M. Righero, F. Vipiana, G. Vecchi, and M. Sabbadini, "Fast antenna testing with reduced near field sampling," IEEE Transactions on Antennas and Propagation, Vol. 62, No. 5, 2501-2513, May 2014.
doi:10.1109/TAP.2014.2309338

19. Chiu, P. J., W. C. Cheng, D. C. Tsai, and Z. M. Tsai, "Robust and fast near-field antenna measurement technique," International Journal of Microwave and Wireless Technologies, Vol. 8, No. 4–5, 777-784, Jun. 2016.
doi:10.1017/S1759078716000581

20. Fuchs, B., L. Le Coq, and M. D. Migliore, "Fast antenna array diagnosis from a small number of farfield measurements," IEEE Transactions on Antennas and Propagation, Vol. 64, No. 6, 2227-2235, Jun. 2016.
doi:10.1109/TAP.2016.2547023

21. Migliore, M. D., "A simple introduction to compressed sensing/sparse recovery with applications in antenna measurements," IEEE Antennas and Propagation Magazine, Vol. 56, No. 2, 14-26, Apr. 2014.
doi:10.1109/MAP.2014.6837061

22. Morabito, A. F., R. Palmeri, and T. Isernia, "A compressive-sensing-inspired procedure for array antenna diagnostics by a small number of phaseless measurements," IEEE Transactions on Antennas and Propagation, Vol. 64, No. 7, 3260-3265, Jul. 2016.
doi:10.1109/TAP.2016.2562669

23. Fuchs, B., L. Le Coq, S. Rondineau, and M. D. Migliore, "Fast antenna far-field characterization via sparse spherical harmonic expansion," IEEE Transactions on Antennas and Propagation, Vol. 65, No. 10, 5503-5510, Oct. 2017.
doi:10.1109/TAP.2017.2738059

24. Mishali, M. and Y. C. Eldar, "From theory to practice: Sub-Nyquist sampling of sparse wideband analog signals," IEEE Journal of Selected Topics in Signal Processing, Vol. 4, No. 2, 375-391, Apr. 2010.
doi:10.1109/JSTSP.2010.2042414

Dr. Liang Zhang

Dr. Fei Wang

Dr. Tianting Wang

Dr. Xin-Yuan Cao

Dr. Ming Sheng Chen

Dr. Xian-Liang Wu