基于相干频谱CZT与Rife校正联合的高精度4D毫米波雷达测距算法

    High-precision 4D millimeter-wave radar ranging algorithm based on the combination of coherent spectrum CZT and Rife correction

    • 摘要: 针对如何提高4D毫米波雷达测距精度的问题,本文在分析传统FFT测距误差来源的基础上,提出一种基于相位信息融合的CZT与Rife校正联合的超分辨率距离估计算法。该算法首先利用FFT获取初始频谱,通过相位信息融合的CZT实现目标频段的频谱细化,最后采用Rife算法对频谱峰值进行校正,从而显著提升测距分辨率和精度。仿真结果表明,该算法在多目标密集场景下可实现毫米级误差范围内的高精度测距,性能优于传统FFT和ZFFT方法,同时具有更低的计算复杂度,可在保证测量精度的同时降低硬件算力需求。

       

      Abstract: Aiming at the problem of how to improve the ranging accuracy of 4D millimeter-wave radar, this paper proposes a super-resolution range estimation algorithm that combines CZT with Rife correction based on phase information fusion, building upon an analysis of the error sources in traditional FFT-based ranging. First, the initial spectrum is obtained using FFT, followed by spectral zooming of the target frequency band via phase information fusion-based CZT. Finally, the Rife algorithm is applied to correct the spectral peak position, significantly enhancing ranging resolution and accuracy. Simulation results demonstrate that the proposed algorithm achieves high-precision ranging within millimeter-level errors in multi-target dense scenarios, outperforming conventional FFT and ZFFT methods, while maintaining lower computational complexity, thereby reducing hardware computational requirements without compromising measurement accuracy.

       

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