DocumentCode :
1421531
Title :
Evaluating a linear predictive algorithm for bandwidth conservation
Author :
Chang, K.C. ; Yin, X. ; Saha, Ripon K.
Author_Institution :
Center of Excellence in Command, Control & Commun., George Mason Univ., Fairfax, VA, USA
Volume :
36
Issue :
4
fYear :
2000
fDate :
10/1/2000 12:00:00 AM
Firstpage :
1407
Lastpage :
1414
Abstract :
A predictive algorithm for bandwidth conservation and enhanced situation awareness is described and evaluated. In such a system, knowledge of position and intent of the participants involved in the operation must be readily available, and distributed to other units by communications link. This objective can be achieved by predicting position tracks of each unit ahead in time, based on past kinematic history. If the predicted position is within error requirements, then the track estimate is not transmitted over the communication links, which results in considerable savings in bandwidth. However, if the prediction error exceeds such tolerance, a linear predictive algorithm based on linear regression (LR) is used to encode the error. The encoding sequence, in addition to the current unit location, is transmitted to other units by means of communication links. Receiving units, equipped with an identical software package can reconstruct the unit´s location from information contained in the encoded sequence and past track history. Analysis of this algorithm is presented and its performance is validated by simulation.
Keywords :
delays; linear predictive coding; military communication; statistical analysis; bandwidth conservation; communication links; encoding sequence; enhanced situation awareness; kinematic history; linear predictive algorithm; linear regression; position tracks; track history; Algorithm design and analysis; Bandwidth; Computer errors; Encoding; History; Kinematics; Linear regression; Performance analysis; Prediction algorithms; Software packages;
fLanguage :
English
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9251
Type :
jour
DOI :
10.1109/7.892739
Filename :
892739
Link To Document :
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