DocumentCode :
148669
Title :
Novel radar signal models using nonlinear frequency modulation
Author :
Alphonse, Sebastian ; Williamson, Geoffrey A.
Author_Institution :
Dept. of Electr. & Comput. Eng., Illinois Inst. of Technol., Chicago, IL, USA
fYear :
2014
fDate :
1-5 Sept. 2014
Firstpage :
1024
Lastpage :
1028
Abstract :
Two new radar signal models using nonlinear frequency modulation are proposed and investigated with respect to enhancing the target´s range estimation and reducing the sidelobe level. The performance of the proposed signal models is compared to the currently popular linear and nonlinear frequency modulation signal models. The Cramer Rao Lower Bound along with main lobe width and the peak to sidelobe ratio are used for comparing the signal models to show that better range accuracy and smaller sidelobes can be achieved with the proposed signal models.
Keywords :
FM radar; matched filters; radar signal processing; Cramer Rao lower bound; NLFM signals; matched filter; nonlinear frequency modulation signal model; radar signal models; sidelobe level; target range estimation; Bandwidth; Brain models; Computational modeling; Frequency modulation; Radar; Time-frequency analysis; CRLB; NLFM; PSLR; frequency modulation; matched filter; radar;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Conference (EUSIPCO), 2014 Proceedings of the 22nd European
Conference_Location :
Lisbon
Type :
conf
Filename :
6952344
Link To Document :
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