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| Jamming Suppression for Automatic Dependent Surveillance-Broadcast Based on Minimum Dispersion Method |
| WANG Wenyi LIU Shenyue WU Renbiao LU Dan WANG Lu JIA Qiongqiong |
| (Tianjin Key Laboratory for Advanced Signal Processing, Civil Aviation University of China, Tianjin 300300, China) |
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Abstract 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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Received: 30 June 2017
Published: 23 January 2018
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Corresponding Authors:
WANG Wenyi
E-mail: wenyi_wang@126.com
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