ID 原文 译文
5704 采用高斯近似法推导了在加性高斯白噪声信道中的系统误比特率(bit error rate,BER)公式,并依此进行了最优化性能参数的求解。 Using gaussian approximation method was deduced in additive white gaussian noise channel in the system bit error rate (bit error rate and BER) formula, and in accordance with the solution of the optimization performance parameters.
5705 仿真结果表明,推导的BER公式能够准确衡量系统BER性能。 The simulation results show that the BER formula is derived to accurately measure the system BER performance.
5706 相对于SR-DCSK系统,SMSR-DCSK系统在安全性和BER性能方面均有明显提升,并且具有实现复杂度低的优点。 Relative to the SR - DCSK system, SMSR - DCSK system in security and BER performance has improved significantly, and has the advantages of low implementation complexity.
5707 为实现导弹的攻击时间控制,基于导弹和目标的相对运动模型,对静止和匀速运动目标条件下的攻击时间控制制导问题开展了研究。 For the realization of the missile attack time control, based on the relative motion of the missile and the target model, the stationary and under the condition of uniform motion targets attack time control guidance problems is to carry out the research.
5708 根据静止目标条件下的导弹前置角理论计算公式,构造了关于前置角跟踪误差的滑模切换面。 According to the theory of stationary target under the condition of missile heading Angle calculation formula of structure about heading Angle tracking error of sliding mode switching surface.
5709 基于终端滑模理论,设计了一种无奇点的攻击时间控制制导律。 Based on the terminal sliding mode theory, design a kind of attack time control guidance law has no singularity.
5710 对所设计制导律的收敛性及相关参数的取值范围进行了理论分析,证明了该制导律满足Lyapunov稳定性条件,并且不存在奇点。 The convergence of the designed guidance law and the relevant parameters are analyzed in theory, the value selection ranges of Lyapunov stability conditions show that the guidance law, and there is no singularity.
5711 利用落点预测理论对制导律进行了推广,使所设计制导律能够实现匀速运动目标下的攻击时间控制。 Using the theory of point prediction guidance law for the promotion, make the designed guidance law can achieve uniform motion under attack time control.
5712 在不同条件下进行数值仿真,验证了制导律的有效性。 Under the condition of different numerical simulation to verify the validity of the guidance law.
5713 针对复杂环境中的声目标特征提取与选择问题,结合声信号时频域的特点,提出了一种时频域相结合的特征提取方法。 For acoustic target feature extraction and selection problem in complex environment, combining with the characteristics of acoustic signal time and frequency domain, this paper proposes a combination of time and frequency domain feature extraction method.