DocumentCode :
1936189
Title :
Nonlinear filters for long range radars
Author :
Daum, Fred ; Huang, Jim
Author_Institution :
Raytheon, Woburn, MA
fYear :
2008
fDate :
26-30 May 2008
Firstpage :
1
Lastpage :
6
Abstract :
Accurate estimation of the state vector of ballistic missiles tracked by long range radars is an important and difficult nonlinear filtering problem. In particular, the problem of ldquofalse cross range observabilityrdquo is discussed in, and essentially the same problem is addressed in. The radars of interest are phased arrays with ranges of thousands of kilometers, as described in. As explained in, the measurement error volume of such radars are highly non-Gaussian in Cartesian coordinates, and the degree of non-Gaussianess becomes more severe at longer ranges and with improved range measurement accuracy, owing to pulse compression. This paper was written for normal engineers, who do not have homotopy for breakfast.
Keywords :
nonlinear filters; phased array radar; Cartesian coordinates; ballistic missiles; false cross range observability; long range radars; nonlinear filters; phased arrays radars; state vector; Coordinate measuring machines; Filtering; Measurement errors; Missiles; Nonlinear filters; Phased arrays; Radar measurements; Radar tracking; State estimation; Volume measurement; Kalman filter; curse of dimensionality; particle filter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar Conference, 2008. RADAR '08. IEEE
Conference_Location :
Rome
ISSN :
1097-5659
Print_ISBN :
978-1-4244-1538-0
Electronic_ISBN :
1097-5659
Type :
conf
DOI :
10.1109/RADAR.2008.4721108
Filename :
4721108
Link To Document :
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