Novel radar signal models using nonlinear frequency modulation. Alphonse, S. & Williamson, G. A. In 2014 22nd European Signal Processing Conference (EUSIPCO), pages 1024-1028, Sep., 2014. Paper abstract bibtex 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.
@InProceedings{6952344,
author = {S. Alphonse and G. A. Williamson},
booktitle = {2014 22nd European Signal Processing Conference (EUSIPCO)},
title = {Novel radar signal models using nonlinear frequency modulation},
year = {2014},
pages = {1024-1028},
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;NLFM signals;matched filter;Cramer Rao lower bound;nonlinear frequency modulation signal model;sidelobe level;target range estimation;radar signal models;Frequency modulation;Radar;Time-frequency analysis;Brain models;Bandwidth;Computational modeling;frequency modulation;NLFM;matched filter;radar;CRLB;PSLR},
issn = {2076-1465},
month = {Sep.},
url = {https://www.eurasip.org/proceedings/eusipco/eusipco2014/html/papers/1569925617.pdf},
}
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