Algorithm Optimization of Kalman Filtering in the Tactical Air Navigation System

Abstract

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.