Open Access
Volume 36, Number 2, April 2018
Page(s) 270 - 275
Published online 03 July 2018
  1. Daeipour E, Blair W D, Bar-Shalom Y. Bias Compensation and Tracking with Monopulse Radars in the Presence of Multipath [J]. IEEE Trans on Aerospace and Electronic Systems, 1997 , 33 3: 863- 882 [Article] [NASA ADS] [CrossRef] [Google Scholar]
  2. Garber S M . High Resolution Sonar Signals in a Multipath Environment [J]. IEEE Trans Aerospace and Electronic Systems, 1966, AES-2 6 : 431- 440 [Article] [NASA ADS] [CrossRef] [Google Scholar]
  3. Derryberry J H , Gregg W D. On Optimizing Array Reception of Multipath [J]. IEEE Trans on Aerospace Electronic System, 1970, AES-6 2: 188- 199 [Article] [NASA ADS] [CrossRef] [Google Scholar]
  4. Mathias Fink. Time Reversal of Ultrasonic Fields-Part Ⅰ:Basic Principles [J] . IEEE Trans on Ultrasonics Ferroelectrics and Frequency Control , 1992, 39 5 : 555- 566 [Article] [Google Scholar]
  5. Foroohar Foroozan, Amir Asif. Cramer-Rao Lower Bound for Time Reversal Active Array Direction of Arrival Estimation in Multipath Environment[C]//2010 IEEE International Conference on Acoustics, Speech and Signal Prolessing: 2646-2649 [Article] [Google Scholar]
  6. Foroohar Foroozan, Amir Asif. Time Reversal Direction of Arrival Estimation with Cramer-Rao Bound Analysis[C]//2010 IEEE Global Telecommunications Conference: 1-5 [Article] [Google Scholar]
  7. Foroohar Foroozan, Amir Asif. Time Reversal Based Active Array Source localization [J]. IEEE Trans on Signal Processing, 2011, 59 6: 2655 - 2668 [Article] [NASA ADS] [CrossRef] [Google Scholar]
  8. Foroohar Foroozan, Amir Asif. Direction Finding Algorithms for Time Reversal MIMO Radars[C]//2011 IEEE Statisticol Signal Processing Workshop: 433-436 [Article] [Google Scholar]
  9. Foroohar Foroozan, Amir Asif. Time Reversal MIMO Radar for Angle-Doppler Estimation[C]//2012 IEEE Statistical Signal Processing Workshop: 860-863 [Article] [Google Scholar]
  10. Mohammad H S , Sajjadieh , Amir Asif. Compressive Sensing Time Reversal MIMO Radar:Direction and Doppler Frequency Estimation [J]. IEEE Tran on Signal Processing Letters , 2015 , 22 9: 1283- 1287 [Article] [CrossRef] [Google Scholar]
  11. Fu Yongqing, Liu Wei, Bai Ruijie, et al. . A Novel Virtual Time Reversal Method for Passive Direction of Arrival Estimation [J]. Mathematical Problems in Engineering, 2015 2015: 1- 12 [Article] [Google Scholar]
  12. Yang Fuzhou, Wang Haiyan, Shen Xiaohong , et al. . Super-Direction Element Distribution Model of NLA Based on TR [J] . Journal of Shanghai Jiaotong University, 2013, 47 12: 1907- 1910 (in Chinese) [Article] [Google Scholar]
  13. Shao Jianfeng, Zhang Xiaomin, Liu Yihai, et al. Estimation of Time Reversal Target DOA over Underwater Acoustic Multipath Time-Varying Channel[C]//2014 IEEE China Summit and International Conference on Signal and Infomation Processing: 795-799 [Article] [Google Scholar]
  14. Jing Haixia , Li Hongyi. Self-Adaptive Focusing of Underwater Target Based on Active Time Reversal [J] . Electronic Design Engineering, 2015, 23 24: 12 - 15 (in Chinese) 10.3969/j.issn.1674-6236.2015.24.004 [Google Scholar]
  15. Jing Haixia, Shen Xiaohong, Wang Haiyan. Signal Optimization Detection in Acoustic Source Channel under Shallow Water [J]. Computer Simulation , 2016, 33 10: 157- 161 (in Chinese) 10.3969/j.issn.1006-9348.2016.10.034 [Google Scholar]
  16. Jing Haixia , Shen Xiaohong, Liu Lei. Performance Study of Target Detection Based on Active Time Reversal [J]. Video Engineering , 2016 , 40 8: 103- 107 (in Chinese) [Article] [Google Scholar]
  17. 孙 超 水下多传感器阵列信号处理 西安 西北工业大学出版社 2007

    孙超.水下多传感器阵列信号处理[M].西安:西北工业大学出版社, 2007

    [Google Scholar]
  18. Sun Chao. Underwater Multi-sensor Array Signal Processing [M]. Xi'an, Northwestern Polytechnical University Press, 2007 [Google Scholar]

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