DocumentCode :
1824755
Title :
Data fusion in the presence of jamming
Author :
Boyd, J.E. ; Sworder, D.D. ; Hutchins, R.G.
Author_Institution :
Cubic Defense Syst. Inc., San Diego, CA, USA
Volume :
2
fYear :
1999
fDate :
24-27 Oct. 1999
Firstpage :
881
Abstract :
In an environment subject to sudden change, the accuracy of tracking and prediction is strongly influenced both by the sensor architecture and by the quality of the individual sensors. This paper presents a performance analysis of an image-enhanced algorithm for both path following and covariance estimation in applications where the sensors are subject to jamming. For an illustrative trajectory, the performance of the algorithm is contrasted with an extended Kalman filter.
Keywords :
covariance analysis; jamming; military radar; motion estimation; radar interference; radar tracking; covariance estimation; data fusion; image-enhanced algorithm; jamming; path following; performance analysis; prediction; quality; sensor architecture; tracking; trajectory; Acceleration; Equations; Filters; Image sensors; Jamming; Performance analysis; Recursive estimation; Sensor fusion; State estimation; Target tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems, and Computers, 1999. Conference Record of the Thirty-Third Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
ISSN :
1058-6393
Print_ISBN :
0-7803-5700-0
Type :
conf
DOI :
10.1109/ACSSC.1999.831836
Filename :
831836
Link To Document :
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