LFMCW车载雷达解速度模糊测角新方法

A New Method for Velocity Ambiguity Resolution and Angle Estimation of LFMCW Vehicle Radar

  • 摘要: LFMCW车载雷达采用MIMO虚拟孔径方法提高角度估计性能,通常将MIMO雷达虚拟孔径角度估计和解速度模糊分成两帧信号处理,这样会降低雷达数据率。该文提出一种解速度模糊测角新方法,采用TDM方式发射不同时宽、带宽相同的锯齿波信号。在一帧信号内先解速度模糊,再进行相位补偿,最后进行MIMO雷达虚拟孔径角度估计。通过仿真和理论分析,该方法能进行高精度角度估计,减少了信号处理时间,提高了雷达数据率。

     

    Abstract: Linear frequency modulated continuous wave (LFMCW) vehicle radars usually adopts multiple input multiple output (MIMO) virtual aperture angle measurement method. Traditional methods split velocity ambiguity resolution and angle estimation in two frames for further processing, causing the reduction of radar data rate. In this paper, a new method is proposed to solve this problem. This method uses the Time division multiplexing (TDM) approach to transmit and process sawtooth signals with different slope. Only one frame signal is needed for the velocity ambiguity resolution and angle estimation by using phase compensation. Simulation and theoretical analysis show that the proposed method can reduce signal processing time and improve radar data rate, with high angle measurement accuracy obtained simultaneously.

     

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