DocumentCode
2162508
Title
Survey of radar target identification for noise polluted radar measurements
Author
Zhou De-Quan
Author_Institution
Sch. of Inf. Sci. & Technol., Zhejiang Forestry Univ., Hangzhou
fYear
2008
fDate
2-5 Nov. 2008
Firstpage
770
Lastpage
773
Abstract
Itpsilas important to develop reliable approach of radar target identification for low signal-to-noise ratio (SNR) situation, especially when the radar is used in battle field. A feature selection method is proposed in this paper. The one nearest-neighbor (1-NN) classifier is used as classifier. The effectiveness of radar target identification based on the methods is investigated in computer simulation for both data sets including standard sample and new data sets, all them are mixed with heavy noise.
Keywords
military radar; radar signal processing; radar target recognition; search radar; data sets; feature selection method; low signal-to-noise ratio; nearest-neighbor classifier; noise polluted radar measurements; radar target identification; surveillance radars; Bicycles; Doppler radar; Fourier transforms; Frequency; Machine learning algorithms; Motorcycles; Noise level; Pollution measurement; Radar measurements; Signal to noise ratio;
fLanguage
English
Publisher
ieee
Conference_Titel
Antennas, Propagation and EM Theory, 2008. ISAPE 2008. 8th International Symposium on
Conference_Location
Kunming
Print_ISBN
978-1-4244-2192-3
Electronic_ISBN
978-1-4244-2193-0
Type
conf
DOI
10.1109/ISAPE.2008.4735329
Filename
4735329
Link To Document