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Adaptive neuro-fuzzy inference systems for wideband signal recovery in a noise-limited environment
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Tseng, Chien-Hsun and Cole, Marina (2007) Adaptive neuro-fuzzy inference systems for wideband signal recovery in a noise-limited environment. In: IEEE International Conference on Fuzzy Systems, London, UK, 23-26 Jul 2007. Published in: 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) pp. 756-761. ISBN 9781424412099. doi:10.1109/FUZZY.2007.4295461 ISSN 1544-5615.
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Official URL: http://dx.doi.org/10.1109/FUZZY.2007.4295461
Abstract
A neuro-fuzzy detector in the continuous wavelet transform (CWT) domain is developed to enhance the performance of wideband acoustic signal detection in a noise-limited environment. The aim of the detector is to determine the motion parameters (radial range and velocity) of moving targets in active wideband sonar echolocation system at very low signal-to-noise ratio (SNR). The detection is based on time-scale and time-delay of the received echo. The fuzz detector is composed of two parts: noise reduction based on the adaptive noise cancelling (ANC) concept, and motion parameters estimation based on the correlation process. Using learning intelligent systems named adaptive neuro-fuzzy inference systems (ANFIS), noise embedded in the return signal is minimized which improves the output SNR. The resultant signal is then proceeded by a similarity measurement technique known as the wideband cross correlation process equivalent to the CWT operation for determining the motion parameters. Simulation results demonstrate that e neuro-fuzzy detector is effective in accurately predicting the motion parameters with less than 0.2% false target detection rate.
| Item Type: | Conference Item (Paper) | ||||
|---|---|---|---|---|---|
| Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software T Technology > TK Electrical engineering. Electronics Nuclear engineering |
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| Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||
| Series Name: | IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) | ||||
| Journal or Publication Title: | 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) | ||||
| Publisher: | IEEE | ||||
| ISBN: | 9781424412099 | ||||
| ISSN: | 1544-5615 | ||||
| Official Date: | 2007 | ||||
| Dates: |
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| Number of Pages: | 6 | ||||
| Page Range: | pp. 756-761 | ||||
| DOI: | 10.1109/FUZZY.2007.4295461 | ||||
| Status: | Peer Reviewed | ||||
| Publication Status: | Published | ||||
| Conference Paper Type: | Paper | ||||
| Title of Event: | IEEE International Conference on Fuzzy Systems | ||||
| Type of Event: | Conference | ||||
| Location of Event: | London, UK | ||||
| Date(s) of Event: | 23-26 Jul 2007 |
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