Method of Waveform Selection for Cognitive Radar Based on IMM
TU Zhonghua
Abstract：Cognitive radar,as an advanced radar system,is different from traditional radar in its excellent adaptive environ-ment ability,which makes cognitive radar used in many important and complex detection tasks at high frequency.Aiming at the un-certainty and noise interference in maneuvering target tracking,this paper proposes a method combining interactive multiple model(IMM)and unsensitive Kalman filter(UKF).By introducing IMM model based on the simplification of waveform library based on depth Q learning,the simplification of waveform library is realized,which effectively reduces the calculation time and improves the tracking accuracy.At the same time,the target tracking process is further optimized by using the insensitive Kalman filter(UKF),and the robustness and adaptability of the system are enhanced.The experimental results show that this method reduces the detec-tion error by 26.2％on average and shortens the calculation time by 60％on average.
Keywords：cognitive radartarget followingInteractive Multi ModelUnscented Kalman FilteringQ learning
Publication Date：2025-12-20
Online Publishing Date：2026-03-23(First online date of this platform, not the publication date of the document)
Pages：7( 83-89 )