Title :
Fixed-interval smoothing for Markovian switching systems
Author :
Helmick, Ronald E. ; Blair, Dale W. ; Hoffman, Scott A.
Author_Institution :
Syst. Res. & Technol. Dept., Naval Surface Warfare Center, Dahlgren, VA, USA
fDate :
11/1/1995 12:00:00 AM
Abstract :
A suboptimal approach to the fixed-interval smoothing problem for Markovian switching systems is examined. A smoothing algorithm is developed that uses two multiple-model filters, where one of the filters propagates in the forward-time direction and the other one propagates in the backward-time direction. A backward-time filtering algorithm based on the interacting multiple model concept is also developed. Results from a simulation example are given to illustrate the performance of the smoothing algorithm with respect to that of filtering. The example involves radar tracking of a Mach 1 aircraft
Keywords :
Markov processes; digital filters; military aircraft; radar signal processing; radar tracking; smoothing methods; switching theory; Mach 1 aircraft; Markovian switching systems; backward-time filtering algorithm; fixed-interval smoothing; forward-time direction; interacting multiple model; multiple-model filters; performance; radar tracking; suboptimal approach; Approximation algorithms; Covariance matrix; Filtering algorithms; Filters; Gaussian noise; Noise measurement; Sampling methods; Smoothing methods; State estimation; Switching systems;
Journal_Title :
Information Theory, IEEE Transactions on