Title: Maximum likelihood identification of glint noise
Authors: Wu, WR
交大名義發表
電信工程研究所
National Chiao Tung University
Institute of Communications Engineering
Issue Date: 1-Jan-1996
Abstract: If the non-Gaussian distribution function of radar glint noise is known, the Masreliez filter can be applied to improve target tracking performance. We investigate the glint identification problem using the maximum likelihood (ML) method. Two models for the glint distribution are used, a mixture of two Gaussian distributions and a mixture of a Gaussian and a Laplacian distribution An efficient initial estimate method based on the QQ-plot is also proposed. Simulations show that the ML estimates converge to truths.
URI: http://dx.doi.org/10.1109/7.481248
http://hdl.handle.net/11536/1535
ISSN: 0018-9251
DOI: 10.1109/7.481248
Journal: IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
Volume: 32
Issue: 1
Begin Page: 41
End Page: 51
Appears in Collections:Articles


Files in This Item:

  1. A1996TQ35200005.pdf