ID 原文 译文
20505 基于线性拟合的分析方法得到了两点源反向交叉眼参数与单脉冲雷达指示角的一般性公式。 Based on the analysis method of linear fitting, the general formula of two source reverse cross eyeparameters and monopulse radar indicating angle are obtained.
20506 并通过案例仿真探讨了干扰机功率、信号相位差、信号幅值比及目标回波相位等参数对单脉冲雷达角度欺骗效果的影响。 The influence of jammer power, signal phase difference, signal amplitude ratio and echo signal phase on the angle deception effect of monopulse radar is discussed through case simulation.
20507 结果表明：干扰机发射的两路信号相位差越接近180°，幅值比越接近1，干扰机对单脉冲雷达角度欺骗效果越好； The results show that: The phase difference of the two signals emitted bythe jammer is closer to 180° and the amplitude ratio is closer to 1, the better the angle deception effect of thejammer is to the monopulse radar;
20508 在JSR(干信比)为10～25 dB之间时，随着干扰机功率的增大，相同干扰效果下干扰机参数容限越宽松； with the increase of jammer power, the parameter tolerance of jammers ismore relaxed when JSR (10～25 dB) is increased;
20509 受目标回波相位变化影响，两点源交叉眼干扰效果不稳定；数学模型与单脉冲雷达接收机仿真模型结果一致。 and due to the influence of target echo phase, the jamming effect of jammer is unstable; the mathematical model is consistent with the simulation model of monopulse radar receiver.
20510 该文研究可为飞机、舰船搭载反向交叉眼干扰机设计提供参考。 This study can provide reference for the design of reverse cross eye jammers for aircraft and ships.
20511 宽带雷达微动目标3维干涉测量可为目标运动几何参数估计提供重要信息。 Three dimensional interferometry of wide-band radar can provide crucial information for estimating the micro-motion and geometric parameters of targets.
20512 该文针对宽带雷达斜视3维干涉测量微动目标参数估计，提出一种斜视校正干涉测量微动几何参数估计方法。 For estimation of the micro-motion parameters via three dimensional interferometry in the case of squint observing mode, an algorithm for micro-motion and geometric parameters based on squint calibration is proposed.
20513 方法对L型天线阵列中各天线接收回波进行干涉测距测角，通过建立2元2次非线性方程和坐标变换实现斜视扭曲校正，得到目标散射中心3维运动轨迹， The algorithm performs ranging and angle measuring foreach antenna receiving echo in an L formation array. Moreover, the squint distortion is calibrated and threedimensional trajectories of scattering centers are obtained via establishing two elements and quadratic nonlinearequations and coordinate transformation.
20514 继而采用滤波和优化求解实现目标微动几何参数估计，有效提高了微动目标运动几何参数估计准确性和平滑稳健性。 In addition, smoothing filtering and optimization are used to retrieve micro-motion and geometry parameters. The effectiveness and robustness of the proposed algorithm is confirmed via extensive experiments.