Adaptive Track Fusion Method Based on Uncertainty
Wu Jing, Xiaofeng Ai, Zhiming Xu, Feng Zhao, Xu Zhenhai · 2022
In the complex battlefield environment, the radar is subject to multiple types of interference, and the measurement accuracy fluctuates and changes abruptly. Because of the instability of radar measurement ability in the actual environment, an adaptive track fusion method based on uncertainty is proposed, which uses the measurement wave gate to judge the current measurement ability of each radar. When the radar accuracy decreases due to interference, the uncertainty is proposed to measure the real-time error level of the track, and the uncertainty is used as the weight to participate in the fusion, to effectively resist the interference in the complex environment. Simulation results show that the algorithm has good scene adaptability and can always maintain high track fusion accuracy in different interference environments.