INVESTIGATING THE IMPACT OF PROCESSING LATENCY ON FMCW PROXIMITY FUZE ACCURACY AND A VELOCITY-BASED PREDICTIVE COMPENSATION SCHEME

Abstract

This paper investigates the impact of computational latency (processing delay) in Frequency-Modulated Continuous Wave (FMCW) radar systems on the accuracy of high-velocity proximity fuzes. When the relative velocity is high, the processing delay introduces a significant ranging error. In this study, the authors develop an error calculation model and propose a velocity-based predictive compensation scheme. Through Monte Carlo simulations, it is demonstrated that the Root Mean Square Error (RMSE) of the range when uncompensated increases linearly with velocity, while the proposed compensation solution can mitigate this error by over 90%, maintaining accuracy close to the measurement noise limit. This research provides an essential foundation for designing real-time algorithms for high-speed proximity fuzes.