Title :
Survey of radar target identification for noise polluted radar measurements
Author_Institution :
Sch. of Inf. Sci. & Technol., Zhejiang Forestry Univ., Hangzhou
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;
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
DOI :
10.1109/ISAPE.2008.4735329