Channel Equalization Secret Communication Method Based on Time Reversal

For the eavesdropping channel problem in physical layer security research. A wireless channel equalization and secretive transmission method based on time reversal is proposed, which is called equalized time reversal (ETR) technology. The method is applicable to rayleigh fading channel, and reduces the inter-symbol interference (ISI) component of the traditional time reversal (TR) by equalizing the indoor wireless channel to improve the secrecy performance.

[1]  Tao Li,et al.  An energy-efficient multicast algorithm with maximum network throughput in multi-hop wireless networks , 2016, Journal of Communications and Networks.

[2]  Shaoen Wu,et al.  Dynamic Trust Relationships Aware Data Privacy Protection in Mobile Crowd-Sensing , 2018, IEEE Internet of Things Journal.

[3]  Georges Kaddoum,et al.  Effective secrecy-SINR analysis of time reversal-employed systems over correlated multi-path channel , 2015, 2015 IEEE 11th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob).

[4]  Dac-Binh Ha,et al.  Evaluation of physical layer secrecy in MIMO Ultra-WideBand system using Time-Reversal techniques , 2014, 2014 International Conference on Computing, Management and Telecommunications (ComManTel).

[5]  E. W. Ziebarth.  THE MASS MEDIA IN INTERNATIONAL COMMUNICATION , 1952 .

[6]  Kyritsi,et al.  MISO time reversal and delay-spread compression for FWA channels at 5 GHz , 2004, IEEE Antennas and Wireless Propagation Letters.

[7]  Jian Li,et al.  Weighting technique for detection and location of targets by time reversal-reverse time migration mixed method , 2017, 2017 Symposium on Piezoelectricity, Acoustic Waves, and Device Applications (SPAWDA).

[8]  Xin Wang,et al.  Mobile underwater acoustic communication based on passive time reversal , 2017, 2017 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC).

[9]  Claude E. Shannon,et al.  Communication theory of secrecy systems , 1949, Bell Syst. Tech. J..

[10]  A.A.M. Saleh,et al.  A Statistical Model for Indoor Multipath Propagation , 1987, IEEE J. Sel. Areas Commun..

[11]  Fernando L. Teixeira,et al.  Equalized Time Reversal Beamforming for Frequency-Selective Indoor MISO Channels , 2017, IEEE Access.

[12]  Rohit Negi,et al.  Guaranteeing Secrecy using Artificial Noise , 2008, IEEE Transactions on Wireless Communications.

[13]  Ueli Maurer,et al.  Secret key agreement by public discussion from common information , 1993, IEEE Trans. Inf. Theory.

[14]  Xiaohua Li,et al.  Using Antenna Array Redundancy and Channel Diversity for Secure Wireless Transmissions , 2007, J. Commun..

[15]  John G. Proakis,et al.  Digital Communications , 1983 .

[16]  Hassan El-Sallabi,et al.  Characterization of secrecy capacity of time reversal technique for wireless physical layer security , 2016, 2016 19th International Symposium on Wireless Personal Multimedia Communications (WPMC).

[17]  Yaoliang Song,et al.  Time reversal microwave imaging method based on SF-ESPRIT for breast cancer detection , 2017, 2017 3rd IEEE International Conference on Computer and Communications (ICCC).

[18]  K. J. Ray Liu,et al.  Time-Reversal Wideband Communications , 2013, IEEE Signal Processing Letters.

[19]  Zhu Han,et al.  Improving Wireless Physical Layer Security via Cooperating Relays , 2010, IEEE Transactions on Signal Processing.

[20]  Luís M. Correia,et al.  Beamforming Strategies for Energy Efficient Transmission in LTE , 2013, 2013 IEEE 77th Vehicular Technology Conference (VTC Spring).

[21]  K. J. Ray Liu,et al.  Time-Reversal Division Multiple Access over Multi-Path Channels , 2012, IEEE Transactions on Communications.

[22]  Dingde Jiang,et al.  Maximum connectivity-based channel allocation algorithm in cognitive wireless networks for medical applications , 2017, Neurocomputing.