【摘要】 文中针对复杂电磁环境下高分辨雷达成像需求，提出了一种基于单脉冲多载波调频信号的一维距离像参数估计方法。该方法核心在于将单脉冲宽带信号分解为多个子载波，采用稀疏处理构建稀疏表示模型，每个目标散射点对应字典矩阵中的原子分量。采用正交匹配追踪算法完成散射点的一维距离像参数估计，实现距离高分辨。同时，相较于传统的单脉冲宽带跳频信号，本方法通过频域分集的技术显著提升了抗转发式干扰能力。当部分频点被干扰时，剩余未被干扰的频段仍可保留有效信号成分，在一定程度上获得目标的高分辨距离像参数估计。仿真实验采用了10个散射点目标模型，对该方法进行验证，结果表明，稀疏重构算法适用于单脉冲多载波调频信号的一维距离像分析处理。值得注意的是，由于本方法采用单脉冲体制，无需实现相参积累，故适用于高速运动目标的瞬时成像。更多还原

【Abstract】 The requirements for high-resolution radar imaging in complex electromagnetic environments is addressed by proposing an high-resolution range profile parameter estimation method based on single-pulse multi-carrier frequency modulated(MC-FM) signals. The core innovation lies in decomposing the single-pulse wideband signal into multiple subcarriers and employing sparse processing to construct a sparse representation model. Each target scattering point corresponds to an atomic component in the dictionary matrix, with orthogonal matching pursuit algorithm being adopted to achieve high-resolution range profile parameter estimation of scattering points. Meanwhile, compared with traditional single-pulse wideband frequency-hopping signals, this method significantly enhances anti-repeater-jamming capability through frequency diversity technology. When partial subcarriers are interfered, the remaining undisturbed frequency bands can still retain effective signal components, enabling satisfactory high-resolution range profile estimation under limited interference conditions. Simulation experiments using a 10-scatterer target model verify the method′s effectiveness, demonstrating that the sparse processing algorithm is well-suited for high-resolution range profile analysis of MC-FM signals. Notably, as the proposed single-pulse scheme eliminates the need for coherent accumulation, it proves particularly suitable for instantaneous imaging of high-speed moving targets.更多还原