频率步进信号距离像互相关精确测速算法

Accurate Velocity Measurement of Range Profile Cross Correlation in Stepped-Frequency Signal

  • 摘要: 针对距离像互相关算法可以实现频率步进信号自测速但测速精度有限这一问题,通过对互相关输出包络和相位的分析,提出了距离像互相关波形分析法和距离像互相关峰值相位法2种测速算法,结合这2种方法提出了一种频率步进信号距离像互相关精确测速算法,该算法的测速精度可以与多普勒测速相比拟,不仅能满足频率步进信号速度补偿的要求,还可以实现微动目标的测量. 仿真结果验证了该算法的有效性.

     

    Abstract: Velocity measurement and compensation is the key issue of wideband radar signal processing. The algorithm of range profile cross correlation (RPCC) can independently achieve velocity estimation in stepped-frequency (SP) signal, but with limited measuring accuracy. Through the analysis of the RPCC envelop and phase, two velocity estimation algorithms were put forward: waveform analysis of RPCC and peak phase of RPCC, and the theoretical performance was derived separately. Then, a novel approach was designed based on the combination of two algorithms above, which was defined as accurate velocity measurement of RPCC. The precision of the proposed approach is approximate to that of Doppler velocity estimation, which can not only satisfy the accuracy requirement of velocity compensation, but also make it possible to the micro-motion target measurement. Simulation result has verified the effectiveness of the proposed algorithm.

     

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