高速DQPSK解调器的算法及实现

介绍了一种高速四相差分相移键控(DQPSK)解调器的算法。该方法基于锁相环原理，并采用了现场可编程逻辑门阵列(FPGA)芯片进行载波恢复、差分解码、时钟恢复和判锁等，其设计与实现不仅方便，而且可靠性高。     

DE算法在空间交会中的应用

在第一次脉冲位置可变的条件下,用差异演化(DE)算法实现航天器双冲量交会的优化。根据C-W方程建立双冲量交会模型,用时间-能量加权法计算混合优化指标。给出了所设计DE优化算法的编码、生成初始种群、变异、交叉、辅助和选择等操作步骤。仿真结果表明,DE算法较基本遗传算法(GA)能更有效地获得最优解。     

弹道导弹显式制导的分析与研究

弹道导弹的制导方法是影响弹道导弹命中精度的关键因素。本文对此进行了深入研究。文章首先分析了影响制导精度和速度的原因。在此基础上，提出了一种基于神经网络的显式制导方法，这种方法利用神经网络进行弹道约束函数的解算，利用微分控制算法进行控制量求解，具有较好的应用价值，文中算例验证了算法的有效性。     

遥感相机自动调焦的研究

本文介绍一种遥感相机自动调焦技术的实验研究结果，实验表明，差分式对比传递函数法调焦，具有调焦精度高，调焦速度快，受像移影响不明显，适应性好等优点。     

差动驱动式移动机械手的运动规划

提出了差动驱动式移动机械手的运动规划算法。首先推导出差动驱动式移动机械手的运动学模型，其次给出了基于广义雅可比矩阵的差动驱动式移动机械手分解运动速度控制算法，最后用计算机仿真验证了该算法的正确性。     

差分编码OQPSK调制解调器设计

OQPSK调制性能大大优于 QPSK,但由于 OQPSK调制的特殊性 ,其差分编解码相应比较复杂 ,文中对DOQPSK的差分编解码和调制解调原理进行了深入的分析 ,针对传统 DOQPSK相干解调和解码方法存在的问题 ,给出一种简单高效的改进 DOQPSK解调和解码方法。该方法不仅结构简单 ,同时消除了与 DQPSK解调相比存在的 3 d B解调损失问题 ,大大提高系统的解调性能     

微分变压器用于宽频数字信号隔离

用微分变压器取代积分变压器实现数字信号隔离，不仅有利于箭上设备小型化，还可提高隔离性能，改善电磁兼容（ＥＭＣ）性。文中分析了积分变压器隔离电路的缺点和局限性。展宽频域下限的一种有效途径是使用微分变压器，它的工作条件易于满足，可小型化，且频率下限低至毫赫级。文中给出了计算公式和电路。为了恢复变形的波形，给出了迟滞整形电路，本方案优点是增强了抗干扰能力，提高测量精度，延长传输距离。     

差分技术在双星快速定位通信系统中的应用

卫星定位通信系统是具有10米以内高精度的第二代卫星导航定位系统。达到高精度的关键是应用了伪随机码扩谱及差分定位技术。诸如星历误差、电离层时延变化和地球模型不准等误差,通过应用差分技术可以大部分消除。本文阐述了差分技术的应用和系统精度分析。     

Transient simulation of a differential piston warm gas self-pressurization system for liquid attitude and divert propulsion system

In order to obtain the dynamic characteristics of a differential piston warm gas selfpressurization system for liquid attitude and divert propulsion system, a transient model is developed using the modular modeling method. The system includes the solid start cartridge,pressure-amplified tank with liquid monopropellant, liquid regulator, gas generator, and pipes.The one-dimensional finite-element state-variable model is applied to the pipes and the lumped parameter method is adopted for the other modules. The variations of the system operation parameters over time during the startup, steady-state, and pulsing operational processes are obtained from the transient model, and the characteristics of starting time changing with different system parameters are also analyzed. It is shown that the system startup process can be divided into three distinct processes. The starting time monotonically changes with variations of the liquid regulator parameters, first decreasing and then increasing with the mass change of the solid propellant charge of the start cartridge, initial gas cavity volume of the pressure amplified tank and initial gas cushion of the propellant tank. The starting time can be reduced to less than 1.0 s(0.68–0.75 s for the current system). For meeting the deviation requirements of ±10% of the steady-state propellant tank pressure, the positive deviation requirement is assured by the self-locking pressure and the negative deviation can be assured within an allowable maximum propellant tank volume flowrate(1.6 times the design value for the proposed system) for downstream thrusters for a designed system. The results from the simulation are useful as a guide for further system design and testing.     

Kalman filter based estimation of differential hardware biases with triangular interpolation technique for IRNSS

Ionosphere delay correction is the main error correction to the computation of single frequency user position using satellite navigation. However ionosphere delay consists of not only delay but also frequency dependent differential hardware biases from satellite and receiver ends. For ionosphere point of view, Indian Regional Navigation Satellite System (IRNSS) service area comes in equatorial anomaly region. It is a unique satellite navigation system which operates at L5 and S frequencies and consists of Geostationary Earth Orbit (GEO) and Geo Synchronous Orbit (GSO) satellite constellation. With IRNSS measurements availability, there is a good opportunity to estimate and analyse differential hardware biases with GEO/GSO combination and with equatorial ionosphere variation. In this paper, Kalman filter based estimation with triangular interpolation technique is used to estimate differential hardware biases for all IRNSS satellites and reference receivers at L5 frequency. The standard deviation of the 15?days of daily estimation of satellite differential hardware biases is in the range of 0.32 to 1.17 TECU for all IRNSS satellites. Similarly, the standard deviation of the 15?days of daily estimation varies up to 2.85 and 6.0 TECU for receiver differential hardware biases during calm and stormy period respectively. The ionosphere delay computed using estimated differential hardware biases is compared with Global Ionosphere Map (GIM) data. A rigorous analysis is carried out to study the error in the estimation in terms of input data noise level, satellite constellation and effect of latitude. Our result reveals that over IRNSS service area, there is an exponential increase in the error in the estimation of receiver differential hardware biases with respect to latitude.