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2022-05-06
Junqing, Zhang, Gangqiang, Zhang, Junkai, Liu.  2021.  Wormhole Attack Detecting in Underwater Acoustic Communication Networks. 2021 OES China Ocean Acoustics (COA). :647—650.

Because the underwater acoustic communication network transmits data through the underwater acoustic wireless link, the Underwater Acoustic Communication Network is easy to suffer from the external artificial interference, in this paper, the detection algorithm of wormhole attack in Underwater Acoustic Communication Network based on Azimuth measurement technology is studied. The existence of wormhole attack is judged by Azimuth or distance outliers, and the security performance of underwater acoustic communication network is evaluated. The influence of different azimuth direction errors on the detection probability of wormhole attack is analyzed by simulation. The simulation results show that this method has a good detection effect for Underwater Acoustic Communication Network.

2015-05-05
Jian Wu, Yongmei Jiang, Gangyao Kuang, Jun Lu, Zhiyong Li.  2014.  Parameter estimation for SAR moving target detection using Fractional Fourier Transform. Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International. :596-599.

This paper proposes an algorithm for multi-channel SAR ground moving target detection and estimation using the Fractional Fourier Transform(FrFT). To detect the moving target with low speed, the clutter is first suppressed by Displace Phase Center Antenna(DPCA), then the signal-to-clutter can be enhanced. Have suppressed the clutter, the echo of moving target remains and can be regarded as a chirp signal whose parameters can be estimated by FrFT. FrFT, one of the most widely used tools to time-frequency analysis, is utilized to estimate the Doppler parameters, from which the moving parameters, including the velocity and the acceleration can be obtained. The effectiveness of the proposed method is validated by the simulation.