Abstract
The problem of estimating the return power in a laser integrated radar (lidar) system in the presence of multiplicative noise and partially unmodeled dynamics is explored. Several nonlinear methodologies are reviewed and compared to develop a systematic approach to signal model identification and estimation. The situations considered operate in mode-switching environments, that is, the desired unknown parameters are allowed to vary according to sudden jumps exhibiting discontinuous behavior at random times. Partitioning-based, parallel-structured techniques are shown to be significantly superior to the usual extended Kalman filter algorithm.
© 1996 Optical Society of America
Full Article | PDF ArticleMore Like This
Barry J. Rye and R. Michael Hardesty
Appl. Opt. 28(18) 3908-3917 (1989)
Francesc Rocadenbosch, Gregori Vázquez, and Adolfo Comerón
Appl. Opt. 37(30) 7019-7034 (1998)
Barry J. Rye and R. Michael Hardesty
Appl. Opt. 28(5) 879-891 (1989)