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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, ENGLAND, JUL 23-26, 2007. Published in: 2007 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-4 pp. 756-761.

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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 (UNSPECIFIED)
Subjects: Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Series Name: IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
Journal or Publication Title: 2007 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-4
Publisher: IEEE, ELECTRON DEVICES SOC & RELIABILITY GROUP
ISBN: 978-1-4244-1209-9
ISSN: 1544-5615
Date: 2007
Number of Pages: 6
Page Range: pp. 756-761
Identification Number: 10.1109/FUZZY.2007.4295461
Publication Status: Published
Title of Event: IEEE International Conference on Fuzzy Systems
Location of Event: London, ENGLAND
Date(s) of Event: JUL 23-26, 2007
URI: http://wrap.warwick.ac.uk/id/eprint/30646

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