ID 原文 译文
22635 该系统基于 I&Q 调制器正交调制技术与带宽合成信号处理技术，使得系统能够同时满足大带宽和高重复频率的要求，解决了传统激光雷达宽带信号调制速度慢的问题。 Based on the I&Q modulator from the fiber communication community and the bandwidth synthesis technique, the proposed system provides wide bandwidth with high repetition rate, which is difficult for conversional ladar system based on tuning the wavelength of a tunable laser.
22636 该系统能够生成高重频、大带宽的相干线性调频激光雷达信号，在高分辨距离成像、(逆)合成孔径激光雷达成像、距离分辨的振动测量等方面，具有重要的应用价值。 The proposed system is expected to be useful for high range resolution imaging, Inverse Synthetic Aperture Ladar (ISAL), range resolved vibration measurement.
22637 文中阐述了宽带高重复频率调制的原理和方法、基于微波域频率步进的带宽合成信号处理方法，并进行光纤环路实验和自由空间实验。 The operation principle, system description, and signal processing method for bandwidth synthesis are discussed in the paper. And experiments are performed both in fiber delay line and free space.
22638 作为演示，该激光雷达系统获得了 16.7 kHz 重复频率、6 GHz 带宽，实现了优于 2.5 cm 距离向分辨率成像及远距离运动目标逆合成孔径激光雷达成像。 As a demonstration, the system generates signal with 6 GHz at repetition rate of 16.7 kHz. The resolution of the obtained images is finer than 2.5 cm.
22639 实验结果证明了该系统与方法的有效性。 The experimental results demonstrates the effectiveness of the proposed system and the processing method.
22640 特征基函数法是分析目标宽角度电磁散射特性的有效方法之一，但在构造特征基函数时，设置的入射波激励包含大量的冗余信息，大大降低了特征基函数的构造效率； Characteristic basis function method is one of the effective methods to analyze wide-angle electromagnetic scattering characteristics of objects. However, the incident wave excitations used to construct the Characteristic Basis Functions (CBFs) contain large amount of redundant information, which greatly reduces the construction efficiency of the CBFs.
22641 另外在分析复杂目标时，在增加激励数目的情况下，仅应用主要特征基函数并不能显著提高计算精度。 Moreover, when the complex target is analyzed, the calculation accuracy can not be significantly improved only using the Primary CBFs (PCBFs) when the number of excitations is increased.
22642 针对这些问题，该文对特征基函数构造方法进行改进，首先采用奇异值分解技术对激励矩阵进行压缩去除冗余信息，减少求解矩阵方程的次数； To solve these problems, an improved CBFs construction method is presented in this paper. Firstly, the Singular Value Decomposition (SVD) technique is used to effectively compress the excitation matrix to remove the redundant information, which in turn reduces the number of solving the matrix equation.
22643 其次充分考虑子域之间的互耦作用，将主要特征基函数与次要特征基函数融合，得到改进的主要特征基函数。 Then, the mutual interaction among subdomains is fully considered, and the Improved PCBFs (IPCBFs) are obtained by merging the PCBFs and the Secondary CBFs (SCBFs).
22644 数值计算结果表明：与传统方法相比，该方法具有更高的计算效率和计算精度。 The numerical results show that the proposed method has higher computational efficiency and computational accuracy than the traditional method.