Autoencoder-Based DIFAR Sonobuoy Signal Transmission and Reception Method Incorporating Residual Vector Quantization and Compensation Module: Validation Through Air Channel Modeling
This paper proposes a novel autoencoder-based neural network for compressing and reconstructing underwater acoustic signals collected by Directional Frequency Analysis and Recording sonobuoys. To improve both signal compression rates and reconstruction performance, we integrate Residual Vector Quant...
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MDPI AG
2024-12-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/15/1/92 |
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| author | Yeonjin Park Jungpyo Hong |
| author_facet | Yeonjin Park Jungpyo Hong |
| author_sort | Yeonjin Park |
| collection | DOAJ |
| description | This paper proposes a novel autoencoder-based neural network for compressing and reconstructing underwater acoustic signals collected by Directional Frequency Analysis and Recording sonobuoys. To improve both signal compression rates and reconstruction performance, we integrate Residual Vector Quantization and a Compensation Module into the decoding process to effectively compensate for quantization errors. Additionally, an unstructured pruning technique is applied to the encoder to minimize computational load and parameters, addressing the battery limitations of sonobuoys. Experimental results demonstrate that the proposed method reduces the data transmission size by approximately 31.25% compared to the conventional autoencoder-based method. Moreover, the spectral mean square errors are reduced by 60.58% for continuous wave signals and 55.25% for linear frequency modulation signals under realistic air channel simulations. |
| format | Article |
| id | doaj-art-8302d3467a3241c8bcd55e61b003e71b |
| institution | Kabale University |
| issn | 2076-3417 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-8302d3467a3241c8bcd55e61b003e71b2025-01-10T13:14:24ZengMDPI AGApplied Sciences2076-34172024-12-011519210.3390/app15010092Autoencoder-Based DIFAR Sonobuoy Signal Transmission and Reception Method Incorporating Residual Vector Quantization and Compensation Module: Validation Through Air Channel ModelingYeonjin Park0Jungpyo Hong1Department of Information and Communication Engineering, Changwon National University, Changwon 51140, Republic of KoreaDepartment of Information and Communication Engineering, Changwon National University, Changwon 51140, Republic of KoreaThis paper proposes a novel autoencoder-based neural network for compressing and reconstructing underwater acoustic signals collected by Directional Frequency Analysis and Recording sonobuoys. To improve both signal compression rates and reconstruction performance, we integrate Residual Vector Quantization and a Compensation Module into the decoding process to effectively compensate for quantization errors. Additionally, an unstructured pruning technique is applied to the encoder to minimize computational load and parameters, addressing the battery limitations of sonobuoys. Experimental results demonstrate that the proposed method reduces the data transmission size by approximately 31.25% compared to the conventional autoencoder-based method. Moreover, the spectral mean square errors are reduced by 60.58% for continuous wave signals and 55.25% for linear frequency modulation signals under realistic air channel simulations.https://www.mdpi.com/2076-3417/15/1/92DIFAR sonobuoyautoencoderair channel modelingsignal reconstruction |
| spellingShingle | Yeonjin Park Jungpyo Hong Autoencoder-Based DIFAR Sonobuoy Signal Transmission and Reception Method Incorporating Residual Vector Quantization and Compensation Module: Validation Through Air Channel Modeling Applied Sciences DIFAR sonobuoy autoencoder air channel modeling signal reconstruction |
| title | Autoencoder-Based DIFAR Sonobuoy Signal Transmission and Reception Method Incorporating Residual Vector Quantization and Compensation Module: Validation Through Air Channel Modeling |
| title_full | Autoencoder-Based DIFAR Sonobuoy Signal Transmission and Reception Method Incorporating Residual Vector Quantization and Compensation Module: Validation Through Air Channel Modeling |
| title_fullStr | Autoencoder-Based DIFAR Sonobuoy Signal Transmission and Reception Method Incorporating Residual Vector Quantization and Compensation Module: Validation Through Air Channel Modeling |
| title_full_unstemmed | Autoencoder-Based DIFAR Sonobuoy Signal Transmission and Reception Method Incorporating Residual Vector Quantization and Compensation Module: Validation Through Air Channel Modeling |
| title_short | Autoencoder-Based DIFAR Sonobuoy Signal Transmission and Reception Method Incorporating Residual Vector Quantization and Compensation Module: Validation Through Air Channel Modeling |
| title_sort | autoencoder based difar sonobuoy signal transmission and reception method incorporating residual vector quantization and compensation module validation through air channel modeling |
| topic | DIFAR sonobuoy autoencoder air channel modeling signal reconstruction |
| url | https://www.mdpi.com/2076-3417/15/1/92 |
| work_keys_str_mv | AT yeonjinpark autoencoderbaseddifarsonobuoysignaltransmissionandreceptionmethodincorporatingresidualvectorquantizationandcompensationmodulevalidationthroughairchannelmodeling AT jungpyohong autoencoderbaseddifarsonobuoysignaltransmissionandreceptionmethodincorporatingresidualvectorquantizationandcompensationmodulevalidationthroughairchannelmodeling |