Treffer: 基于傅里叶叠层成像的毫米波雷达成像算法.

To achieve high-precision autofocus imaging for near-field millimeter-wave radar and address the multidimensional coupling and high-order error issues caused by motion errors between the platform and the target, a millimeter-wave radar imaging algorithm was investigated based on Fourier ptychographic microscopy (FPM) . The algorithm first performed range compression and range migration correction on radar echoes, then employed Fourier ptychographic imaging technology to calibrate the echo phase. The results show that using both experimental and simulated data demonstrate that the proposed algorithm significantly improves autofocus quality when processing echoes with high-order errors. Compared to traditional imaging techniques, it exhibits notable advantages in resolution and image quality while effectively eliminating phase errors induced by motion disturbances. The proposed FPM-based millimeter-wave radar imaging algorithm provides an effective solution to the challenge of high-precision imaging for millimeter-wave radar on complex maneuvering platforms, demonstrating significant application value. [ABSTRACT FROM AUTHOR]

为实现近场毫米波雷达的高精度自聚焦成像, 解决由于平台和成像物体之间运动误差导致的多维耦合和高次误差 问题, 通过基于傅里叶叠层成像 (Fourier ptychographic microscopy, FPM) 的方法研究毫米波雷达成像算法。该算法先对雷达回 波进行距离压缩和距离徙动校正, 再利用傅里叶叠层成像技术校正回波相位。结果表明: 使用实测数据和模拟数据仿真验 证, 该算法在处理存在高阶误差的回波时, 能显著提高自聚焦质量; 相比传统成像技术, 在分辨率和图像质量方面优势明显; 有效消除了运动误差引起的相位误差。所提出基于傅里叶叠层成像的毫米波雷达成像算法, 为解决复杂机动平台毫米波雷 达高精度成像难题提供了有效方案, 具有重要应用价值。 [ABSTRACT FROM AUTHOR]