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