Seismic Target Recognition Based on Parallel Recurrent Neural Network for Unattended Ground Sensor Systems
One of the most challenging problems in unattended ground sensor (UGS) systems is to distinguish human footstep signals from noise sources. As the distance between the sensor and the moving target increases, the signal-to-noise ratio (SNR) decreases rapidly. Many methods have been proposed to solve...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2019-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8798620/ |