A New Algorithm for Parameter Estimation of LFM Signal
Han, Ning, Shang Chao-xuan, Gang Wang · ASME Press eBooks · 2011
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.