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Time reversal imaging based on joint space–frequency and frequency–frequency data

Published online by Cambridge University Press:  14 January 2019

Tong Mu  and
Yaoliang Song
Tong Mu
Affiliation:
School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China
Yaoliang Song*
Affiliation:
School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China
*
Author for correspondence: Yaoliang Song, E-mail: [email protected]
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Abstract

A new time reversal (TR) method for target imaging is proposed in this paper. Through single measurement by the antenna array, the received signals are utilized to form the space–frequency–frequency multistatic data matrix (MDM). Singular value decomposition is applied to the matrix to obtain the left singular vectors which span the signal subspace. The obtained vectors are divided into multiple subvectors by two different schemes and used to provide target signatures in the form of coarse frequency dependence and relative phase shifts that can be exploited to construct the imaging function. The performance of the proposed method is investigated through numerical simulations for both single and multiple targets, and the results are compared with the traditional TR method using the frequency–frequency MDM. It turned out that the proposed method is able to achieve high resolution with limited array aperture and shows satisfactory robustness in noise environment. Furthermore, experimental results are provided to show the availability of the method in practical applications.

Keywords

RadarEM field theorytime reversal imaging
Type
Research Papers
Information
International Journal of Microwave and Wireless Technologies , Volume 11 , Issue 3 , April 2019 , pp. 207 - 214
Copyright
Copyright © Cambridge University Press and the European Microwave Association 2019 

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References

1.Fink, M, Cassereau, D, Derode, A, Prada, C, Roux, P, Tanter, M, Thomas, JL and Wu, F (2000) Time-reversed acoustics. Reports on Progress in Physics 63, 1933–1995.Google Scholar
2.Lerosey, G, De Rosny, J, Tourin, A, Derode, A, Montaldo, G and Fink, M (2004) Time reversal of electromagnetic waves. Physical Review Letters 92, 193904.Google Scholar
3.Hossain, MD, Mohan, AS and Abedin, MJ (2013) Beamspace time-reversal microwave imaging for breast cancer detection. IEEE Antennas Wireless Propagation Letter 12, 241–244.Google Scholar
4.Zhao, D and Zhu, M (2016) Generating microwave spatial fields with arbitrary patterns. IEEE Antennas Wireless Propagation Letters 15, 1739–1742.Google Scholar
5.Yan, C, Wang, B and Han, Y (2016) Why time reversal for future 5G wireless? IEEE Signal Processing Magazine 33, 17–26.Google Scholar
6.Kosmas, P and Rappaport, CM (2005) Time reversal with the FDTD method for microwave breast cancer detection. IEEE Transactions on Microwave Theory and Techniques 53, 2317–2323.Google Scholar
7.Li, Y and Xia, M (2017) Time reversal imaging based on synchronism. IEEE Antennas Wireless Propagation Letters 16, 2058–2061.Google Scholar
8.Prada, C, Manneville, S, Spoliansky, D and Fink, M. (1996) Decomposition of the time reversal operator: Detection and selective focusing on two scatterers. Journal of the Acoustical Society of America 99, 2067–2076.Google Scholar
9.Lev-Ari, H and Devancy, AJ (2000) The time-reversal technique re-interpreted: Subspace-based signal processing for multi-static target location, IEEE Sensor Array and Multichannel Signal Processing Workshop, Cambridge.Google Scholar
10.Yavuz, ME and Teixeira, FL (2006) Full time-domain DORT for ultrawideband electromagnetic fields in dispersive, random inhomogeneous media. IEEE Transactions on Antennas and Propagation 54, 2305–2315.Google Scholar
11.Yavuz, ME and Teixeira, FL (2008) On the sensitivity of time-reversal imaging techniques to model perturbations. IEEE Transactions on Antennas and Propagation 56, 834–843.Google Scholar
12.Yavuz, ME and Teixeira, FL (2008) Space–frequency ultrawideband time-reversal imaging. IEEE Transactions on Geoscience and Remote Sensing 46, 1115–1124.Google Scholar
13.Zhong, X, Liao, C and Lin, W (2015) Space–frequency decomposition and time-reversal imaging. IEEE Transactions on Antennas and Propagation 63, 5619–5628.Google Scholar
14.Bahrami, S, Cheldavi, A and Abdolali, A (2014) Ultrawideband time-reversal imaging with frequency domain sampling. IEEE Geoscience and Remote Sensing Letters 11, 597–601.Google Scholar
15.Bahrami, S and Ghalibafan, J (2015) Ground penetrating radar based on ultrawideband time-reversal method, European Conference on Antennas and Propagation, Lisbon.Google Scholar
16.Taflove, A and Hagness, SC (2005) Computational Electrodynamics: The Finite-Difference Time-Domain Method. Boston: Artech House.Google Scholar