0
A New Algorithm for Parameter Estimation of LFM Signal

Excerpt

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.

  • Abstract
  • Keywords
  • Introduction
  • Limitation of Original Algorithm
  • New Algorithm Based on PSO
  • Simulation Experiment
  • Conclusion
  • References

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related Journal Articles
Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In