Interference Mitigation for Automotive millimeter wave Radars Based on Time-Frequency Domain Analysis
The paper addresses the issue of mutual interference between frequency modulated continuous wave radar systems leading to false alarms and missed detections.It proposes an interference mitigation method based on improved empirical mode decomposition and autoregressive models in the time-frequency domain.The method first employs empirical mode decomposition to distinguish low-order intrinsic mode functions dominated by interference components in the beat frequency signal.These components are then transformed into the short-time Fourier transform domain,and interference components are located using a threshold method.Subsequently,in the time-frequency domain,the data containing interference in the beat frequency signal is set to zero based on the localization information.After eliminating the interference components,an autoregressive model is used to estimate and interpolate the missing useful signals in the beat frequency signal.Simulation and experimental results demonstrate that this method can accurately remove interference components while reducing the power loss of useful signals.The correlation coeffi-cient between the signal after interference suppression using this method and the reference signal is 0.9697.Compared to existing interference mitigation techniques,the proposed method also exhibits supe-rior interference mitigation performance.
frequency modulated continuous wave radar interference mitigationtime-frequency domain,empirical mode decompositionautoregressive model
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