RT Book, Section
A1 Han, Ning
A1 Shang, Chao-xuan
A1 Wang, Gang
A2 Muhin, V. E.
A2 Hu, W. B.
SR Print(0)
ID 3437257
T1 A New Algorithm for Parameter Estimation of LFM Signal
T2 International Conference on Information Technology and Computer Science, 3rd (ITCS 2011)
YR 2011
PB ASME
PP New York, NY
SN 9780791859742
LK http://dx.doi.org/10.1115/1.859742.paper53
RD 2019/07/19
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.