ID 原文 译文
48886 为解决这两个问题,提出一种基于鉴角曲线拟合的自适应单脉冲测角方法。 To solve these two problems, and puts forward a guide Angle curve fitting based on the adaptive monopulse Angle measuring method.
48887 该方法首先利用自适应和差权矢量与实测导向矢量计算出对应角度的单脉冲比;然后采用最小二乘法拟合出自适应鉴角曲线;最后通过自适应鉴角曲线估计出目标角度。 This method firstly by using adaptive and poor weight vector and the measured orientation vector to calculate the corresponding Angle of monopulse ratio;Then using least square fitting from the Angle of adapt to the learning curve;Finally through the Angle of the adaptive learning curve to estimate the target Angle.
48888 仿真实验验证了该方法的有效性。 The simulation results verify the effectiveness of the method.
48889 不确定性度量研究是粗糙集理论的重要问题之一。 Study of uncertainty in measurement is one of the important issues of rough set theory.
48890 系统的不确定性是由边界域的存在造成的,根据变精度粗糙集思想,将边界域对象分成弱一致性对象和不一致对象集合。 The uncertainty of the system is caused by the existence of the edge boundaries, based on variable precision rough set of ideas, will be divided into weak consistency object boundaries and collection of objects.
48891 结合信息熵与不确定性间的关系,提出了一种基于边界域条件熵的不确定性度量标准。 Combining the information entropy and the relationship between uncertainty, this paper proposes a metrics based on edge boundaries of conditional entropy uncertainty.
48892 理论分析表明,边界域条件熵在衡量决策系统一致性程度时,与普通条件熵具有相同的判别作用;在粗糙集特征约简的启发式条件中与粗糙集正域等效。 Theoretical analysis show that the edge boundaries in measuring condition entropy decision system consistency, and general condition entropy has the same discriminant function;In the condition of rough set feature reduction heuristic and rough set are domain equivalent.
48893 为提高水声通信系统的数据传输速率和可靠性,提出一种新的基于软信道估计的联合迭代均衡译码(joint iterative equalization and decoding,JIED)水声通信方法。 In order to improve the data transmission rate and reliability of the underwater acoustic communication system, puts forward a new soft channel estimation based on balance of joint iterative decoding (be iterative equalization and decoding, JIED) underwater acoustic communication method.
48894 该方法利用软输入软输出(soft in soft out,SISO)译码器反馈的外似然比计算符号软估计信息,并应用于稀疏自适应信道估计器的抽头系数更新过程。 The method using soft input soft output (soft in soft out of SISO) decoder feedback outside the likelihood ratio calculation soft estimate information symbols, and applied to the sparse tap coefficients of adaptive channel estimator is update process.
48895 经过译码器和均衡器之间多次迭代交换软信息联合处理接收信号,信道估计精度与均衡效果显著提高。 After a decoder and multiple iterations soft exchange information between equalizer combined processing signals, channel estimation accuracy and balance effect is significantly improved.