ID 原文 译文
55948 针对传统空战多目标威胁评估难以与动态作战态势相结合的缺陷和不足,提出了基于直觉模糊熵(intuitionistic fuzzy entropy,IFE)与动态直觉模糊法相结合的空战多目标威胁评估方法。 In view of the traditional air combat target threat assessment is difficult to fight against the dynamic trend of combining the flaw and the insufficiency, proposed based on intuitionistic fuzzy entropy (intuitionistic fuzzy entropy, IFE) method with dynamic intuitionistic fuzzy method air multi-target threat assessment method.
55949 该方法通过直觉模糊集确定目标属性矩阵,采用IFE算法对目标属性赋权;采用泊松分布法处理多时刻态势信息,计算时间序列权重;建立动态直觉模糊空战多目标威胁评估数学模型,并进行了仿真研究。 The method is determined by target attribute matrix and intuitionistic fuzzy sets using IFE algorithm of target attribute empowerment;Using poisson distribution method and treatment of multi-time situational information, calculate weight time series;Establish dynamic intuitionistic fuzzy air combat multi-objective mathematical model for threat assessment and a simulation study was carried out.
55950 仿真结果表明该算法是合理和有效的。 The simulation results show that the algorithm is reasonable and effective.
55951 提出了一种基于雷达高分辨距离像(high resolution range profile,HRRP)求解进动锥体目标微动参数与几何外形参数的新方法。 Put forward a kind of based on radar high-resolution range as (high resolution range profile, HRRP) to solve the precession cone target micro parameters and geometric shape of the new method.
55952 首先通过对目标的电磁散射机理分析,建立了进动锥体HRRP径向长度的精确数学模型,得到了距离像长度与雷达观测角、进动角和目标特征尺寸之间的数学关系;然后在此基础上,推导了在变视角观测条件下利用HRRP长度求解锥体进动角的精确表达式;最后解算出锥体目标的高度、底面半径和推算雷达观测角等参数。 First by analyzing the electromagnetic scattering mechanism of target, established the accurate mathematical model of precession cone HRRP radial length, the distance as the length and the radar Angle, precession Angle and the mathematical relationship between the target feature sizes;Then on this basis, is deduced under the condition of variable Angle observation using HRRP length to solve the precession cone Angle of accurate expression;Final solution to calculate the height of the cone target, bottom radius and calculate parameters such as Angle of radar observations.
55953 仿真结果验证了本方法的正确性和有效性。 The simulation results verify the correctness and effectiveness of the proposed method.
55954 针对高性能音频D类功放系统,基于现场可编程门阵列(field programmable gate array,FPGA)设计,实现了一个双声道均匀脉冲宽度调制(uniform pulse width modulation,UPWM)型D类功放控制器。 For high performance class D audio power amplifier system, based on field programmable gate array (FPGA) (field programmable gate array, FPGA) design, implement a double track uniform pulse width modulation (uniform pulse width modulation, UPWM) type of class D power amplifier controller.
55955 该控制器使用由相同子滤波器抽头级联构成的半带滤波器并时分复用乘法器,以降低可配置插值滤波器的硬件资源消耗,利用sigma-delta调制器的高开环增益,通过构造一个基于查找表的误差校正模块,以较小的硬件代价来预校正控制器使用UPWM技术在信号带宽内所带来的非线性失真。 The controller USES made of the same child filter tap cascade half band filter and time division multiplexing multiplier, in order to reduce the hardware resource consumption of the interpolation filter can be configured, use of sigma delta modulator high open-loop gain, by constructing a lookup table based error correction module, small hardware cost to precorrection controller using UPWM technology brought about by the nonlinear distortion in the signal bandwidth.
55956 测试结果表明该控制器输出信噪比可达114dB,互调失真仅为-97dB。 Test results show that the controller output signal to noise ratio of up to 114 db, intermodulation distortion is only - 97 db.
55957 为了满足瞄准式战斗部定位攻击的需要,根据防空导弹逆轨拦截遭遇段只要存在脱靶量就存在视线角速度的特点,分析了导引头视线角、视线角速度、弹目相对速度、径向速度之间的几何关系,提出了采用导引头产生的视线角、视线角速度及多普勒频率来测量脱靶量的方法,解决了利用导引头距离信息测量脱靶量时误差较大的问题。 In order to meet the needs of the target type warhead positioning attack, according to the air-defense missile intercept in inverse rail section as long as there is a miss distance is the line of sight angular velocity characteristics, analyzed the seeker Angle of sight, the line of sight angular velocity, els geometric relation between the relative velocity, radial velocity, proposed USES the seeker Angle of sight and line of sight angular velocity and doppler frequency to measure the miss distance method and solved by using seeker distance information when miss distance measurement error is bigger.