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基于迭代多项式插值的雷达高精度距离估计方法

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为解决由于受频谱间干扰影响而导致毫米波雷达对多目标场景下测距精度不足的问题,提出了一种迭代多项式插值的雷达高精度距离参数估计方法.首先,采用快速傅里叶变换(FFT)与单元平均恒虚警率(CA-CFAR)融合算法估计不同距离下的目标数目和相应频谱位置;其次,对所求目标频谱位置的信息进行迭代处理,在每次处理过程中,降低多目标间的频谱干扰;最后,通过多项式插值求得真实频率的估计偏差,从而得到精度高的目标距离估计.仿真与实测结果表明:该方法在多目标场景与信噪比(SNR)小于20 dB条件下,与汉明窗(Hamming-Window)算法相比,其距离估计精度提升到0.05 m以内.
Radar high precision range estimation method based on iterative polynomial interpolation
To solve the problem of deficiency ranging precision of millimeter-wave radar for multi-targets scenes due to the influence of inter-spectral interference,an iterative polynomial interpolation method for estimating the high-precision distance parameters of radar is proposed. Firstly,the fast Fourier transform(FFT)and cell average-constant false alarm rate(CA-CFAR)fusion algorithm are used to estimate the number of targets and corresponding spectral positions at different distances. Secondly,information of the obtained target spectral position is iteratively processed to reduce the spectral interference between multiple targets in each processing process. Finally,the estimated deviation of the true frequency is obtained through polynomial interpolation,so as to obtain the target distance estimation with high precision. The simulation and actual measuremental results show that the distance estimation precision of this method is improved to within 0. 05 m compared with the Hamming-Window algorithm when the multi-target scene and the signal-to-noise ratio(SNR)are less than 20 dB.

multi-target scenepolynomial interpolationspectrum interferencefrequency estimation

黄晓红、任钢、黄天宇

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华北理工大学人工智能学院,河北 唐山 063210

河北省工业智能感知重点实验室,河北 唐山 063210

多目标场景 多项式插值 频谱干扰 频率估计

河北省教育厅科技基础研究项目(自然科学)河北省高等学校科学技术重点研究项目

JQN2019006ZD2020152

2024

传感器与微系统
中国电子科技集团公司第四十九研究所

传感器与微系统

CSTPCD北大核心
影响因子:0.61
ISSN:1000-9787
年,卷(期):2024.43(7)
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