战术空中导航系统中卡尔曼滤波的算法优化

2018 10th International Conference on Communications, Circuits and Systems (ICCCAS) Pub Date : 2018-12-01 DOI:10.1109/ICCCAS.2018.8768954

Yuzhong Ding, Long Jin

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引用次数: 1

摘要

战术空中导航(TACAN)系统是一种有效的空中导航工具。卡尔曼滤波可以准确地提取TACAN系统调制信号中的包络信号，并且对硬件资源的要求很少。本文提出了一种优化的卡尔曼滤波过程，并将其应用于TACAN系统，提高了计算效率，保证了系统的稳定性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Algorithm Optimization of Kalman Filtering in the Tactical Air Navigation System

The Tactical Air Navigation (TACAN) system is an effective tool for airborne navigation. Kalman filtering can accurately extract the envelope signal in the modulation signal of the TACAN system, and it requires few hardware resources. This paper proposes an optimized Kalman filtering process and applies it to the TACAN system, improving the computing efficiency and guaranteeing system stability.

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2018 10th International Conference on Communications, Circuits and Systems (ICCCAS)

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