Identification of Push-To-Talk Transmitters Using Wavelets.
Abstract
The main objective of this study is to find a wavelet based, feature extracting algorithm for push-to-talk transmitter identification. A distance measure algorithm is introduced to classify signals belonging to one of four transmitters. The signals are first preprocessed to put them into a form suitable for wavelet analysis. The preprocessing scheme include taking the envelopes and differentials. Median filtering is also applied to the outputs of the wavelet transform. The distance algorithm uses local extrema of the wavelet coefficients, and computes the distance between the local extrema a template and the processed signals. A small distance implies high similarity. A signal from each transmitter is selected as a template. A small distance measure indicates that the signal belongs to the transmitter from which the template originated. The distance algorithm can classify correctly the four different signal sets provided for the research. Even lower signal to noise levels, good identification is achieved.
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 01, 1995
- Accession Number
- ADA305423
Entities
People
- Yalcin Payal
Organizations
- Naval Postgraduate School