Target identification based on the optimal base number

Author

Yinggang, Du ; Jinhui, Lu ; Xiangquan, Shi ; Yalin, Gu

Author_Institution

Sch. of Electron. Eng. & Photoelectron. Technol., Nanjing Univ. of Sci. & Technol., China

fYear

1998

fDate

1998

Firstpage

271

Abstract

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

Keywords

acoustic signal processing; entropy; helicopters; military equipment; pattern recognition; wavelet transforms; acoustic signal processing; entropy function; helicopter identification; information cost function; optimal base number; predetermined threshold; signal decomposition; tank identification; target identification; unknown target; wavelet packet algorithm; wavelet packet theory; Acoustic waves; Cost function; Entropy; Filters; Frequency conversion; Helicopters; Signal processing; Signal resolution; Uncertainty; Wavelet packets;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Proceedings, 1998. ICSP '98. 1998 Fourth International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-4325-5

Type

conf

DOI

10.1109/ICOSP.1998.770204

Filename

770204