Target identification based on the optimal base number

In this paper, a new method is introduced for identifying helicopters and tanks via their acoustic signals. The wavelet packet algorithm is applied to the decomposition of the signal of an unknown target, and the optimal base number (OBN) of the signal is obtained by using the entropy function as th...

Full description

Saved in:
Bibliographic Details
Main Authors: Du Yinggang, Lu Jinhui, Shi Xiangquan, Gu Yalin
Format: Conference Proceeding
Language:English
Subjects:
Acoustic waves
Cost function
Entropy
Filters
Frequency conversion
Helicopters
Signal processing
Signal resolution
Uncertainty
Wavelet packets
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this paper, a new method is introduced for identifying helicopters and tanks via their acoustic signals. The wavelet packet algorithm is applied to the decomposition of the signal of an unknown target, and the optimal base number (OBN) of the signal is obtained by using the entropy function as the information cost function combined with wavelet packet theory. The position of the OBN with regard to a predetermined threshold is used to give the judgment as to whether the target is a helicopter or a tank. The method is proved to be very effective.
DOI:10.1109/ICOSP.1998.770204