DocumentCode :
1164586
Title :
Robust altitude estimation for over-the-horizon radar using a state-space multipath fading model
Author :
Anderson, Richard H. ; Kraut, Shawn ; Krolik, Jeffrey L.
Author_Institution :
Gov. Commun. Syst. Div., Harris Corp., Melbourne, FL, USA
Volume :
39
Issue :
1
fYear :
2003
Firstpage :
192
Lastpage :
201
Abstract :
In previous work, a matched-field estimate of aircraft altitude from multiple over-the-horizon (OTH) radar dwells was presented. This approach exploits the altitude dependence of direct and surface reflected returns off the aircraft and the relative phase changes of these micro-multipath arrivals across radar dwells. Since this previous approach assumed high dwell-to-dwell predictability, it has been found to be sensitive to mismatch between modeled versus observed micro-multipath phase and amplitude changes from dwell-to-dwell. A generalized matched-field altitude estimate is presented here based on a state-space model that accounts for random ionospheric and target-motion effects that degrade the dwell-to-dwell predictability of target returns. The new formulation results in an efficient, robust recursive maximum likelihood (ML) estimation of aircraft altitude. Simulations suggest that the proposed technique can achieve accuracy within 5,000 ft of the true aircraft altitude, even with relatively high levels of uncertainty in modeling of dwell-to-dwell changes in the target return. A real data result is also presented to illustrate the technique.
Keywords :
fading channels; maximum likelihood estimation; multipath channels; radar altimetry; radar theory; recursive estimation; state-space methods; aircraft altitude; dwell-to-dwell predictability; ionospheric effect; matched-field estimation; micro-multipath model; over-the-horizon radar; robust recursive maximum likelihood estimation; state-space multipath fading model; target motion effect; Airborne radar; Aircraft; Degradation; Fading; Maximum likelihood estimation; Predictive models; Recursive estimation; Robustness; State estimation; Uncertainty;
fLanguage :
English
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9251
Type :
jour
DOI :
10.1109/TAES.2003.1188903
Filename :
1188903
Link To Document :
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