Abstract
With the rapid development of the civil aviation industry, the air traffic flow is increasing greatly. At the same time, the expansion of telecommunication business has made the problem of electromagnetic interference more and more serious. Consequently, the communication between pilots and air traffic controllers may interfere by other signals, which poses a potential threat to flight safety. So we compare several denoise methods based on the original algorithm in order to find which is optimal in noise reduction for air-ground communication. Comparison tests are performed on actual air-ground communication data, and the experiment results show the improved subtraction algorithm is optimal to reduce the noise interference effectively, while wiener filtering is worst.
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© 2015 Springer International Publishing Switzerland
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Zhang, Z., Shi, Y., Jia, G., Yang, J. (2015). The Comparison of Denoising Methods Based on Air-ground Speech of Civil Aviation. In: Yang, J., Yang, J., Sun, Z., Shan, S., Zheng, W., Feng, J. (eds) Biometric Recognition. CCBR 2015. Lecture Notes in Computer Science(), vol 9428. Springer, Cham. https://doi.org/10.1007/978-3-319-25417-3_57
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DOI: https://doi.org/10.1007/978-3-319-25417-3_57
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