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
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;
Conference_Titel :
Signals, Systems, and Computers, 1999. Conference Record of the Thirty-Third Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-7803-5700-0
DOI :
10.1109/ACSSC.1999.831836
