TY - CHAP
M1 - Book, Section
T1 - A New Algorithm for Parameter Estimation of LFM Signal
A1 - Han, Ning
A1 - Shang, Chao-xuan
A1 - Wang, Gang
A2 - Muhin, V. E.
A2 - Hu, W. B.
PY - 2011
T2 - International Conference on Information Technology and Computer Science, 3rd (ITCS 2011)
AB - When the energy of linear frequency modulation (LFM) signal is constant, its spectrum magnitude square is inversely proportional to frequency modulation slope in the same time duration. Based on this character, every parameter of LFM signal can be estimated. To balance the contradiction between large count amount and high estimation precision, Particle Swarm Optimization (PSO) is introduced to this algorithm. With the fast convergence characteristic of PSO, parameters such as frequency modulation slope and initial frequency are estimated with fewer count amount. Simulation experiments validate that this new algorithm consumes fewer count amount but with higher estimation precision.
SN - 9780791859742
PB - ASME
CY - New York, NY
Y2 - 2019/07/15
UR - http://dx.doi.org/10.1115/1.859742.paper53
ER -