Robust target identification using a modified generalized likelihood ratio test

Chen, Wei Cher and Shuley, Nicholas V. Z. (2014) Robust target identification using a modified generalized likelihood ratio test. IEEE Transactions on Antennas and Propagation, 62 1: 264-273. doi:10.1109/TAP.2013.2287019


Author Chen, Wei Cher
Shuley, Nicholas V. Z.
Title Robust target identification using a modified generalized likelihood ratio test
Journal name IEEE Transactions on Antennas and Propagation   Check publisher's open access policy
ISSN 0018-926X
1558-2221
Publication date 2014-01-01
Year available 2013
Sub-type Article (original research)
DOI 10.1109/TAP.2013.2287019
Volume 62
Issue 1
Start page 264
End page 273
Total pages 10
Place of publication Piscataway, NJ, United States
Publisher Institute of Electrical and Electronics Engineers
Language eng
Abstract In order to correctly identify a remote target, an efficient and robust target signature identification technique is required. Radar target identification based on complex natural resonances (CNRs) has drawn the interest of many researchers following the development of the singularity expansion method (SEM). As evident from the literature, statistical techniques such as the generalized likelihood ratio test (GLRT) have produced a better identification result, in the presence of noise, compared to some other SEM-based identification methods such as the extinction pulse (E-pulse) technique. However, one of the issues related to a resonance based target classifier is that it requires the commencement of the late time period for the unknown target response to be determined accurately in order to avoid false alarms during target classification process. For automatic target recognition (ATR) applications, usually such information is not known a priori. In view of this problem, a modified GLRT technique that utilizes time-frequency analysis is presented in this paper. The improved GLRT method does not require prior knowledge of the beginning of the late time period for the transient response of the unknown target. Simulation results using various targets show that our method is comparable to the original GLRT technique when the commencement of the late time period for the unknown target response is correctly determined and outperforming the original GLRT technique when the commencement of the late time period for the unknown target response is incorrectly determined.
Keyword Complex natural resonances (CNRs)
Noise
Singularity expansion method (SEM)
Target's identification
Time-frequency analysis
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes First published: 23 October 2013.

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2014 Collection
School of Information Technology and Electrical Engineering Publications
 
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