Paper
20 August 1998 Stochastic approximation approach to predictive encoding for bandwidth saving in situation awareness
Rajat K. Saha, Kuo-Chu Chang, K. Lee
Author Affiliations +
Abstract
Situation awareness systems must process and disseminate position information from widely dispersed maneuvering warfighters using combat net radios in restrictive environments. Such systems are important for effective monitoring, situation assessment, and mission planning. When information about the current location of friendly forces is combined with their identity, maneuver plans, and expected future locations, a complete situation awareness system is obtained. Due to the large volume of situation awareness data transmitted over the tactical communication links, it is essential to conserve bandwidth. This paper describes a bandwidth saving algorithm using the theory of Stochastic Approximation. Analysis of this algorithm is presented and its performance is validated by means of simulation.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Rajat K. Saha, Kuo-Chu Chang, and K. Lee "Stochastic approximation approach to predictive encoding for bandwidth saving in situation awareness", Proc. SPIE 3393, Digitization of the Battlespace III, (20 August 1998); https://doi.org/10.1117/12.317671
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Cited by 1 scholarly publication.
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KEYWORDS
Stochastic processes

Computer programming

Filtering (signal processing)

Monte Carlo methods

Telecommunications

Astatine

Detection and tracking algorithms

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