Paper
21 August 2001 Tracking with asynchronous multiple sensors
Author Affiliations +
Abstract
Sensor data fusion has long been recognized as a means to improve target tracking. Common practice assumes that the sensors used an synchronous, i.e., they have identical data rate, measurements are taken at the same time, and have no communication delays between sensors platform and central processing center. Such assumptions are invalid in practice. This paper deals with removing such assumptions when considering the multi-sensor target tracking case. In particular, it assumes that the sensors used can have different data rates and communication delays between local and central platforms. A new target tracker using asynchronous sensors is proposed and derived in this paper. The performance of the filter is compared to the optical sequential filter using simulated targets.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ali T. Alouani, John E. Gray, and Gregory A. Watson "Tracking with asynchronous multiple sensors", Proc. SPIE 4365, Acquisition, Tracking, and Pointing XV, (21 August 2001); https://doi.org/10.1117/12.438040
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KEYWORDS
Sensors

Data communications

Monte Carlo methods

Data processing

Data fusion

Matrices

Error analysis

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