| 摘要: |
| 针对车载毫米波FMCW MIMO雷达现有的常规波束形成算法的旁瓣效应造成的方位向分辨率低以及高分辨算法的工程实时性低的问题，提出了一种迭代自适应算法（IAA）高分辨成像的快速实现方法。该方法首先利用快速傅里叶变换（FFT）获取目标一维距离像，然后对每一距离单元利用FFT算子和Gohberg-Semencul（GS）因子分解计算迭代自适应算法（IAA）的数据协方差矩阵和其逆矩阵，利用快速Toeplitz矩阵向量乘法计算IAA迭代值，从整体上提升了IAA估计各角度散射系数的实时性。仿真和实验结果验证了该方法的可行性和有效性。 |
| 关键词: 车载毫米波FMCW MIMO雷达 高分辨成像 快速迭代自适应算法（FIAA） Toeplitz矩阵向量乘法 |
| DOI：DOI:10.3969/j.issn.1672-2337.2022.02.002 |
| 分类号:TN957.52 |
| 基金项目:国家自然科学基金（No.61861011,61461012）； 广西自然科学基金(No.2017GXNSFAA198050); 广西无线宽带通信与信号处理重点实验室2020年主任基金项目; 广西创新驱动发展专项（No.桂科AA21077008）; 桂林电子科技大学研究生教育创新计划资助项目（No.2020YCXS023） |
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| A Fast Imaging Method for Vehicular Millimeter Wave FMCW MIMO Radar |
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HUANG Yilan， JIN Liangnian， LIU Qinghua
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1. School of Information and Communication, Guilin University of Electronic Technology, Guilin 541004, China;2. Key Laboratory of Guangxi Wireless Broadband Communication and Signal Processing, Guilin 541004, China
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| Abstract: |
| The sidelobe effect of existing conventional beamforming algorithms causes low azimuth resolution. Besides, the high-resolution algorithm has the problem of low engineering real-time performance. A fast implementation method of high resolution imaging based on iterative adaptive algorithm (IAA) for vehicular millimeter wave FMCW MIMO radar is proposed. Firstly, fast Fourier transform (FFT) is used to obtain the one-dimensional range profile of the target. Then, the data covariance matrix and its inverse matrix of iterative adaptive algorithm (IAA) are calculated by FFT operator and Gohberg-Semencul (GS) factorization for each range cell. Meanwhile, fast Toeplitz matrix vector multiplication is used to calculate IAA iteration value. In this way, real-time performance of IAA for estimating scattering coefficient of target at all angles is improved. Simulation and experimental results verify the feasibility and effectiveness of the proposed method. |
| Key words: vehicular millimeter wave FMCW MIMO radar high resolution imaging fast iterative adaptive algorithm（FIAA） Toeplitz matrix vector multiplication |
