Data and sensor fusion for bistatic applications

Anne L. Lee

doi:10.1117/12.777184

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17 March 2008 Data and sensor fusion for bistatic applications

Anne L. Lee

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Proceedings Volume 6974, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2008; 69740G (2008) https://doi.org/10.1117/12.777184
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

Abstract

Detection and tracking of sophisticated targets involving increased resolution and the utility of synthetic aperture transmitter windows require new and innovative approaches to active sensor technologies. The bistatic technique to target tracking is extended to form a multistatic radar system using multiple and separate transmitters and receivers that are designated sparsely located in a region. The fusion of the received data through the utility of a non-linear Kalman filter technique is discussed to predict track through observations from the multistatic system. Target positions and velocities are estimated and the error is shown to converge to zero. The Munkre algorithm is utilized for data and track association to improve error minimization.

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Anne L. Lee "Data and sensor fusion for bistatic applications", Proc. SPIE 6974, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2008, 69740G (17 March 2008); https://doi.org/10.1117/12.777184

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KEYWORDS

Filtering (signal processing)

Nonlinear filtering

Data fusion

Radar

Detection and tracking algorithms

Electroluminescence

Active sensors

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