DocumentCode :
3237873
Title :
A Novel Sense-through-Foliage Target Recognition Method Based on Sparse Representation
Author :
Shijun Zhai ; Ting Jiang ; Jingjing Huang
Author_Institution :
Key Lab. of Universal Wireless Commun., BUPT, Beijing, China
fYear :
2013
fDate :
18-20 Nov. 2013
Firstpage :
1628
Lastpage :
1633
Abstract :
In this paper, a novel sparse representation (SR) based method for recognizing targets under different foliage scenarios is presented. Target echo signals of different targets in different scenarios measured by bistatic ultra-wideband (UWB) radar are used for scenarios and targets recognition. Particularly, two overcomplete dictionaries one for scenarios and one for targets are learned from measured real target echo signal waveforms via dictionary learning technique. The SR expresses an input signal as the linear combination of a small number of the learned dictionary elements, which are from the same category as the input signal. The SR of a test target echo signal can be achieved by solving an L0-norm minimization problem. For targets recognition under multi-scenario, firstly, we locate the scenario of the targets with the overcomplete dictionary for scenarios via SR. Then, the types of the targets are recognized using the overcomplete dictionary for targets via SR. The effectiveness of the proposed approach is verified by experiments taken in the forest measurement. Experimental results on real measured data show that the proposed method achieves higher recognition accuracy.
Keywords :
object detection; radar target recognition; ultra wideband radar; UWB radar; bistatic ultra-wideband radar; dictionary learning technique; linear combination; sense-through-foliage target recognition; sparse representation; target echo signals; Classification algorithms; Dictionaries; Target recognition; Training; Ultra wideband radar; Vectors; Vegetation; bistatic UWB radar; sense-through-foliage; sparse representation; target recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Military Communications Conference, MILCOM 2013 - 2013 IEEE
Conference_Location :
San Diego, CA
Type :
conf
DOI :
10.1109/MILCOM.2013.276
Filename :
6735858
Link To Document :
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