FMCW radar range estimation algorithm based on fast iterative interpolation

Yongchang DUAN; Xin LI; Yaohui HUANG; Ping HUANG

doi:10.11959/j.issn.1000-436x.2019187

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FMCW radar range estimation algorithm based on fast iterative interpolation

Correspondences | 更新时间：2024-06-05

- FMCW radar range estimation algorithm based on fast iterative interpolation
- Journal on Communications Vol. 40, Issue 9, Pages: 175-183(2019)
- 作者机构：
  
  1. 中国舰船研究设计中心，湖北武汉 430064
  2. 哈尔滨工程大学工程训练中心，黑龙江哈尔滨 150001
  3. 哈尔滨工程大学自动化学院，黑龙江哈尔滨 150001
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(61571148);The National Natural Science Foundation of China(61871143);The Fundamental Research Funds for the Central Universities(HEUCFG201823);The Fundamental Research Funds for the Central Universities(3072019CF0402);The Natural Science Foundation of Heilongjiang Province(LH2019F006);Research and Development Project of Application Technology in Harbin(2017RAQXJ095)
- DOI：10.11959/j.issn.1000-436x.2019187
  CLC： TN958.94
- Online First：2019-09，
  
  Published：25 September 2019
- 稿件说明：
移动端阅览
Yongchang DUAN, Xin LI, Yaohui HUANG, et al. FMCW radar range estimation algorithm based on fast iterative interpolation[J]. Journal on Communications, 2019, 40(9): 175-183.
DOI：

Yongchang DUAN, Xin LI, Yaohui HUANG, et al. FMCW radar range estimation algorithm based on fast iterative interpolation[J]. Journal on Communications, 2019, 40(9): 175-183. DOI： 10.11959/j.issn.1000-436x.2019187.

摘要

针对多目标环境中车载防撞雷达的测距精度易受到频谱间干扰的问题，提出了一种改进的基于迭代插值的多目标距离估计算法。首先，利用快速傅里叶变换并结合恒虚警检测算法估计出不同距离的目标个数及目标的粗略位置；然后，对目标的频谱进行非均匀迭代插值，并在每次迭代的过程中消除频谱间干扰，从而得到更精确的距离。仿真实验表明，所提算法在多目标环境中和低信噪比条件下均具有更高的估计精度。使用DSP芯片实现了所提算法，证明该算法满足实时性的要求，易于工程实现。

Abstract

For the multi-target detection

a multi-objective range estimation algorithm was proposed based on iterative interpolation to solve the problem of the range accuracy of frequency modulation continuous wave (FMCW) radar being easy to be interfered by spectrum.Firstly

the number of targets and the rough location of the target were obtained through the fast Fourier transform (FFT) and the constant false alarm (CFAR) detection algorithm.Then spectrum was iteratively interpolate

and the inter-spectral interference was eliminated during each iteration to obtain more accurate distance.Simulation results show that the proposed algorithm has higher estimation accuracy in multi-target environment and low Signal-to-noise ratio(SNR).The proposed algorithm is implemented by DSP

which proved that the algorithm meets the real-time requirements and is easy to be implemented in engineering.

关键词

Keywords

references

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