ID 原文 译文
38456 仿真表明双隐身飞机闪烁非相参干扰在干扰释放阶段能有效使单脉冲雷达角误差提高5.67倍,有效诱偏单脉冲雷达的角度跟踪。 Simulation shows that the double stealth aircraft flicker of coherent interference in the interference release stage can effectively make the single pulse LeiDaJiao error increased by 5. 67 times, effective decoying monopulse tracking radar Angle.
38457 针对同时存在周期性干扰和随机测量噪声的一类非线性系统,提出一种基于误差幅值和误差变化率的开环PD型迭代学习非线性增益自适应算法,分别给出了比例和微分的增益调整规则,并对所提算法进行了严格的理论分析,同时推导出收敛条件。 To exist periodic interference and random measurement noise of a class of nonlinear system, puts forward a method based on error and error change rate of open loop nonlinear gain adaptive PD type iterative learning algorithm, proportional and differential gain adjustment rules are given respectively, and the proposed algorithm has carried on the strict theoretical analysis, at the same time, convergence condition is deduced.
38458 结果表明,与传统学习增益固定的开环PD型迭代学习律相比,当非线性系统同时存在周期性扰动和幅值较大测量噪声时,自适应非线性增益学习律能根据误差幅值和误差变化率在线调整比例和微分学习增益,抑制扰动和噪声,使得在学习收敛速度和收敛精度之间在某种程度上得以折中,在学习初始阶段高增益下保证了迭代学习的收敛速度,学习末了阶段小增益下具有较强的鲁棒性和收敛精度,得到的误差跟踪曲线更加平滑。 Results show that with the traditional learning gain than the fixed type open loop PD iterative learning law, when the nonlinear system is periodic disturbance and large amplitude measurement noise at the same time, the adaptive learning law of nonlinear gain can be adjusted according to the error and error change rate online proportional and differential learning gain, disturbance rejection and noise, in learning convergence speed and convergence to some extent to compromise between accuracy and initial phase under the high gain in learning to ensure the convergence rate of the iterative learning, learning under the end stage of small gain has stronger robustness and convergence precision, the error of tracking curve more smooth.
38459 当训练数据含有期望信号时,传统的基于特征投影预处理的主瓣干扰抑制算法会产生严重退化。 When the training data containing the desired signal, the traditional main lobe interference suppression algorithm based on feature preprocessing severe degradation.
38460 这是因为在期望信号的扰动下主瓣干扰对应的特征波束易产生峰值偏移,导致主瓣干扰难以完全去除,当多个主瓣干扰存在时尤为突出。 This is because under the disturbance of desired signal main lobe interference caused by the characteristics of the corresponding beam peak shift and result in main lobe jamming is difficult to completely remove, especially when multiple main lobe interference.
38461 通过估计信号与噪声功率并将期望信号功率置零重构干扰加噪声协方差矩阵,排除了期望信号的影响,使得主瓣干扰能够充分去除。 By estimating the signal and noise power and the desired signal power zero refactoring interference and noise covariance matrix, ruled out the influence of the desired signal, the winner can fully remove disc interference.
38462 进一步将主瓣干扰功率置零重构旁瓣干扰加噪声协方差矩阵进行波束形成,方向图较协方差重构法在旁瓣干扰方向上能够形成更深的零陷。 Further the main lobe interference power zero refactoring sidelobe beamforming interference and noise covariance matrix, pattern is covariance reconstruction method can form deeper in sidelobe interference direction of zero.
38463 仿真实验表明,提出的方法能够有效抑制多个主瓣干扰并具有良好的稳健性。 Simulation results show that the proposed method can effectively suppress multiple main lobe interference and has good robustness.
38464 近年来,正交频分复用(orthogonal frequency division multiplexing,OFDM)被广泛应用于高精度无线测距系统中。 In recent years, the orthogonal frequency division multiplexing (orthogonal frequency division multiplexing, OFDM) has been widely used in high-precision wireless ranging system.
38465 针对OFDM高精度测距系统对相位噪声非常敏感的问题,提出了基于区域量化的分级最佳轨迹匹配相位噪声补偿算法,首先根据实际相位噪声轨迹设计了基于区域量化的两级码本,然后通过分段匹配的方法在码本中选择最接近实际的相位噪声轨迹。 For OFDM high accuracy ranging system is sensitive to phase noise problem, based on the area of quantitative classification of best path matching phase noise compensation algorithm, first of all, based on the actual phase noise trajectory was designed based on regional quantitative two levels of code, and then through the block matching method in the code book to select the most close to the actual phase noise trajectory.