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Volume 40 Issue 4
Apr.  2018
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WANG Wenyi, LIU Shenyue, WU Renbiao, LU Dan, WANG Lu, JIA Qiongqiong. Jamming Suppression for Automatic Dependent Surveillance-Broadcast Based on Minimum Dispersion Method[J]. Journal of Electronics & Information Technology, 2018, 40(4): 898-904. doi: 10.11999/JEIT170636
Citation: WANG Wenyi, LIU Shenyue, WU Renbiao, LU Dan, WANG Lu, JIA Qiongqiong. Jamming Suppression for Automatic Dependent Surveillance-Broadcast Based on Minimum Dispersion Method[J]. Journal of Electronics & Information Technology, 2018, 40(4): 898-904. doi: 10.11999/JEIT170636

Jamming Suppression for Automatic Dependent Surveillance-Broadcast Based on Minimum Dispersion Method

doi: 10.11999/JEIT170636
  • Received Date: 2017-06-30
  • Rev Recd Date: 2017-12-06
  • Publish Date: 2018-04-19
  • Jamming is the one of most common and serious threats for Automatic Dependent Surveillance- Broadcast (ADS-B) system. Minimum dispersion method is applied to jamming suppression for ADS-B in this paper. Firstly, based on the pulse characteristic of ADS-B, minimum dispersion method is obtained by solving the constrained optimization issue of p-norm, which expands the case that exploits only the second-order statistics of the array output in past. Then, the useful information in lower order statistics is used to convert the solution of optimal weight vector into an optimization problem. Finally, jamming is mitigated by spatial filtering and the performance is analyzed. Simulation results demonstrate the effectiveness of the proposed algorithm. The anti-jamming performance of this method is not limited by the prior knowledge of ADS-B direction and the covariance matrix estimation.
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