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Dynamic Quantization for Track Fusion Under Communication Constraints
Date
2015-05-19
Author
Gok, Gorkem
Orguner, Umut
Metadata
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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A new quantization approach is proposed for track fusion in fusion systems under communication constraints. The quantization algorithm used in practice for track fusion is a static nearest neighbor approach which selects the closest vector and the covariance in a table to the current track information. The quantization algorithm proposed here involves posing the quantization problem in an optimization framework and solving it by also including the predicted future values of the track into the picture. Since the approach considers the inherent dynamic characteristics of the tracks, the resulting methodology is called as dynamic quantization. The early simulation results show that the dynamic quantization is much more advantageous compared to static quantization even under very low bit rates.
Subject Keywords
Track fusion
,
Fusion system
,
Communication constraint
,
Quantization
URI
https://hdl.handle.net/11511/55305
Conference Name
23nd Signal Processing and Communications Applications Conference (SIU)
Collections
Department of Electrical and Electronics Engineering, Conference / Seminar
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G. Gok and U. Orguner, “Dynamic Quantization for Track Fusion Under Communication Constraints,” presented at the 23nd Signal Processing and Communications Applications Conference (SIU), Inonu Univ, Malatya, TURKEY, 2015, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/55305.