Poster + Paper
7 June 2024 Unscented Kalman filter in chaotic digital communication: a robust spread
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Conference Poster
Abstract
This study provides a bibliometric analysis of the Unscented Kalman Filter (UKF) within chaotic digital communication, highlighting its significance and evolving role in enhancing the robustness of signal processing in unpredictable environments. Through a systematic review of literature from key databases and a detailed bibliometric examination, we trace the UKF's development, applications, and its intersection with various research themes, including chaos synchronization and nonlinear filtering. The findings underscore the UKF's importance in addressing the complexities of chaotic systems, revealing its impact across algorithms, chaos theory, and secure digital communication strategies. This analysis not only showcases the UKF's practical advantages and theoretical contributions but also positions it as a crucial tool for future advancements in digital communication technologies. The study encapsulates the UKF's potential to revolutionize signal processing by leveraging chaos for improved system performance, emphasizing the need for continued interdisciplinary research to harness this potential fully.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Khaled Obaideen, Mohammad AlShabi, S. Andrew Gadsden, and Talal Bonny "Unscented Kalman filter in chaotic digital communication: a robust spread", Proc. SPIE 13057, Signal Processing, Sensor/Information Fusion, and Target Recognition XXXIII, 1305715 (7 June 2024); https://doi.org/10.1117/12.3013907
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KEYWORDS
Signal filtering

Tunable filters

Signal processing

Data communications

Electronic filtering

Nonlinear filtering

Analytical research

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