FMCW Radar Signal DOA Estimation Method Based on the Third-Order Cross Cumulant Under High Interference

XIA Nan; MA Xin-xin; WANG Si-qi

doi:10.12263/DZXB.20230258

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FMCW Radar Signal DOA Estimation Method Based on the Third-Order Cross Cumulant Under High Interference

PAPERS | 更新时间：2025-12-11

- FMCW Radar Signal DOA Estimation Method Based on the Third-Order Cross Cumulant Under High Interference
- ACTA ELECTRONICA SINICA Vol. 52, Issue 2, Pages: 510-517(2024)
- 作者机构：
  
  大连工业大学信息科学与工程学院，辽宁大连 116034
- 作者简介：
- 基金信息：
  
  Industry-university Cooperation Education Project of the Ministry of Education(220603231024713)
- DOI：10.12263/DZXB.20230258
  CLC： TN911.72;
- Received：20 March 2023，
  
  Revised：2023-04-25，
  
  Published：25 February 2024
- 稿件说明：
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夏楠,马昕昕,王思琦.强干扰下基于三阶互累积量的FMCW雷达信号DOA估计算法[J].电子学报,2024,52(02):510-517.

XIA Nan, MA Xin-xin, WANG Si-qi.FMCW Radar Signal DOA Estimation Method Based on the Third-Order Cross Cumulant Under High Interference[J].Acta Electronica Sinica, 2024, 52(02): 510-517.
夏楠,马昕昕,王思琦.强干扰下基于三阶互累积量的FMCW雷达信号DOA估计算法[J].电子学报,2024,52(02):510-517. DOI：10.12263/DZXB.20230258

XIA Nan, MA Xin-xin, WANG Si-qi.FMCW Radar Signal DOA Estimation Method Based on the Third-Order Cross Cumulant Under High Interference[J].Acta Electronica Sinica, 2024, 52(02): 510-517. DOI：10.12263/DZXB.20230258

摘要

针对车载调频连续波雷达存在相互干扰的实际情况，本文提出了一种基于三阶互累积量的多目标波达方向超分辨估计方法.该方法利用同步采集的阵列信号并根据回波信号和干扰信号的非相关特性，构造三阶互累积量矩阵，随后根据子空间方法获得二维空间谱，实现距离和方位的联合估计.计算机仿真结果表明，本文所提方法能够在抑制强干扰影响的同时实现3°以内多目标识别，与现有超分辨法和重构法相比，具有更高的角度分辨率和估计精度.

Abstract

In order to handle the realistic issue of mutual interference in vehicle-mounted frequency-modulated continuous wave radars

this paper proposes a super-resolution direction of arrival estimation approach based on the third-order cross cumulant. According to the property of non-correlation between the echo signals and the interference signals

the method uses the synchronously sampled array signals to build a third-order cross cumulant matrix

which is then used to obtain a two-dimensional spatial spectrum using the subspace method for joint range and bearing estimation. Simulation results demonstrate that the proposed method can suppress the effect of strong interference and identify multiple targets within 3 degrees. Compared with the existing super-resolution and reconstruction methods

the method has higher angular resolution and estimation accuracy.

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references

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