Adaptive neuro-fuzzy inference systems for wideband signal recovery in a noise-limited environment
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.Full text not available from this repository.
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|
|Number of Pages:||6|
|Page Range:||pp. 756-761|
|Title of Event:||IEEE International Conference on Fuzzy Systems|
|Location of Event:||London, ENGLAND|
|Date(s) of Event:||JUL 23-26, 2007|
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