ID 原文 译文
20855 仿真结果表明，相比传统差分校正算法，该方法可大范围消除星历误差对同步三星时差定位系统定位精度的影响，且定位精度可逼近CRLB。 Simulation results demonstrate that the proposed algorithm can almost eliminate the effect of ephemeris error on location error of tri-satellite TDOA geolocation system in wide area.
20856 多频带融合成像可有效提高ISAR成像的距离分辨率。 Multiband fusion imaging can effectively improve the range resolution of Inverse Synthetic Aperture Radar (ISAR) imaging.
20857 传统的ESPRIT谱估计融合算法只利用了复数观测数据本身，而没有利用其共轭数据。 The traditional Estimation of Signal Parameters via Rotational Invariance Techniques(ESPRIT) spectral estimation signal fusion algorithm uses only the complex measured data without using their conjugate data.
20858 该文提出对合成复观测数据及其共轭的酉ESPRIT法进行调整以实现基于酉ESPRIT法的多频带融合ISAR成像。 This paper proposes to modify the unitary ESPRIT method, which is based on synthesizingcomplex observation data and its conjugate data, to achieve unitary ESPRIT based multiband fusion ISARimaging.
20859 酉ESPRIT法充分利用复数观测数据信息，更有利于多频带融合的频谱估计和ISAR成像。 The unitary ESPRIT method makes full use of the information of complex observations, which is more beneficial to multiband frequency spectrum estimation and ISAR imaging.
20860 针对多频带融合中目标散射点越分辨单元徙动校正的问题，调整了传统校正处理的步骤， Furthermore, for the correction ofMigration Through Resolution Cell (MTRC) of scatterers in multiband fusion, the traditional processing flow is adjusted and optimized.
20861 分别在多频带融合前进行越距离单元徙动校正和融合后进行越多普勒单元徙动校正，避免了回波中的快时间频率-慢时间耦合项以及时域相位补偿对频域融合处理的影响，从而得到效果更好的多频带融合ISAR图像。 The migration through range cell correction and the migration through Doppler cell correction are performed before and after the multiband fusion respectively, which avoids the influence of the fast time frequency - slow time coupling in the echo and the phase compensation on the spectrum fusion processing, thereby a better multiband fusion ISAR image is obtained.
20862 仿真和实测数据结果表明所提方法不但能得到高质量的融合ISAR图像，也具有更优的抗噪性能和更高的运算效率。 Simulation and real data experimentalresults show that the proposed methods can not only get high quality ISAR images, but also have goodantinoise performance and higher computational efficiency.
20863 准确估计无人机旋翼转动频率对于无人机的检测与识别具有重要意义。 Accurately estimating rotor rotation frequency of Unmanned Aerial Vehicle (UAV) is of great significance for UAV detection and recognition.
20864 该文针对调频连续波雷达的无人机目标回波模型，提出一种自相关-倒谱联合分析的无人机旋翼转动频率估计方法，推导了无人机旋翼转动频率与雷达回波倒谱输出中周期性时延的映射关系，通过加权均衡能够更有效地估计多旋翼无人机旋翼转动频率，弥补了传统方法的不足。 For the UAV target echo model of LFMCW (Linear Frequency Modulated Continuous Wave) radar, this paper proposes an auto-correlation and cepstrum to estimate therotor rotation frequency of UAV, which derives the mapping relationship between the rotor rotation frequency of UAV and the periodic delay in the radar echo cepstrum output, and more effectively estimates the rotorfrequency of multi-rotor UAV by weighted equilibrium, making up for the shortages of traditional methods.