Paper
27 July 2004 Sensor management in RADAR/IRST track fusion
Shi-qiang Hu, Zhong-liang Jing
Author Affiliations +
Abstract
In this paper, a novel radar management strategy technique suitable for RADAR/IRST track fusion, which is based on Fisher Information Matrix (FIM) and fuzzy stochastic decision approach, is put forward. Firstly, optimal radar measurements' scheduling is obtained by the method of maximizing determinant of the Fisher information matrix of radar and IRST measurements, which is managed by the expert system. Then, suggested a "pseudo sensor" to predict the possible target position using the polynomial method based on the radar and IRST measurements, using "pseudo sensor" model to estimate the target position even if the radar is turned off. At last, based on the tracking performance and the state of target maneuver, fuzzy stochastic decision is used to adjust the optimal radar scheduling and retrieve the module parameter of "pseudo sensor". The experiment result indicates that the algorithm can not only limit Radar activity effectively but also keep the tracking accuracy of active/passive system well. And this algorithm eliminates the drawback of traditional Radar management methods that the Radar activity is fixed and not easy to control and protect.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shi-qiang Hu and Zhong-liang Jing "Sensor management in RADAR/IRST track fusion", Proc. SPIE 5430, Acquisition, Tracking, and Pointing XVIII, (27 July 2004); https://doi.org/10.1117/12.541958
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Cited by 1 scholarly publication.
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KEYWORDS
Radar

Infrared search and track

Sensors

Detection and tracking algorithms

Fuzzy logic

Target detection

Infrared radiation

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