基于迭代的多频频率估计方法
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1.中国电子科技集团第三十八研究所孔径阵列与空间探测安徽省重点实验室, 合肥,230031;2.合肥工业大学计算机与信息学院,合肥,230009

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中央高校基本科研业务费专项资金(JZ2019HGBZ0126)资助项目。


Frequency Estimation Method for Multi-frequency Estimation Based on Iteration
Author:
Affiliation:

1.Key Laboratory of Aperture Array and Space Application, No.38 Research Institute of China Electronic Technology Group Corporation, Hefei, 230031, China;2.School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, 230009, China

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    摘要:

    调频连续波(Frequency modulated continuous wave,FMCW)雷达中的频率测量精度直接决定了测距的精度,但实际应用中频率估计受到负频谱和多目标带来的多频信号的干扰,误差较大。本文基于常用的单频频率估计方法Orguner算法提出了一种新的多频频率估计方法,并利用迭代逐步消除负频谱和其他频率带来的干扰。该方法只需要对信号进行离散傅里叶变换(Discrete Fourier transform,DFT),进而取各频率点附近的3个采样值实现精确的频率估计。仿真结果证明,本文提出的方法无论在无噪声条件下还是在高斯白噪声条件下均能带来频率估计精度的提升,且无需加窗处理,相比传统方法拥有更低的计算复杂度。

    Abstract:

    Frequency-modulated continuous-wave (FMCW) radars utilize the frequency difference between the transmitted signal and the received echo signal to calculate the target range, so estimating the beat frequency is an important procedure in FMCW radar. However, the interference of negative frequency component and the multi-frequency component deteriorate the accuracy of frequency estimation in practical application. In this paper, a new frequency estimation method is proposed for multi-frequency estimation, which is based on the Orguner method and iteration. The method can accurately estimate frequency only using three discrete Fourier transform (DFT) samples near every frequency component. Simulations confirm that the proposed method outperforms traditional alternatives both in noiseless scenario and Gaussian white noise scenario, and has lower complexity because of no windowing processing.

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陈皓,雷艺.基于迭代的多频频率估计方法[J].数据采集与处理,2020,35(6):1154-1162

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  • 收稿日期:2018-10-09
  • 最后修改日期:2019-12-20
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  • 在线发布日期: 2020-12-17