基于混料设计的快硬土壤固化材料配方优化

为探索普通硅酸盐水泥(P·O)、熟石灰(HL)、硅灰(SF)三元混料系统对固化土无侧限抗压强度的影响,综合极端顶点设计和均匀设计思想建立混料回归模型,得出了响应面图形,确定了三元混料系统的最佳配方。在该配方下,固化土7d实际抗压强度可以达到4.75MPa。通过交互作用分析揭示了混料因子间的作用规律:P·O与HL交互作用对固化土7d无侧限抗压强度影响极其显著,P·O与SF交互作用对固化土7d无侧限抗压强度影响显著。对比试验表明,该混料设计方案对提高固化土7d无侧限抗压强度有显著效果,对土壤固化剂配合比优化设计和固化土无侧限抗压强度预测具有指导意义。     

有机混合物体系的介电亚微相态特征

以壬酸、油酸、新润滑油及对应的氧化润滑油为分散样品,以-10号军用柴油为分散介质,在施加64 V直流偏置电压和长时间静置的条件下,介电谱分析技术表征的不同分散体系的介电亚微相态变化规律为:0.3 m L分散样品与3 m L分散介质形成的均匀分散体系的介电谱实部响应数据与柴油分散介质几乎没有差异;壬酸和油酸均匀分散体系与柴油分散介质的介电谱虚部响应数据差异极小,新润滑油和对应氧化润滑油形成的均匀分散体系与柴油分散介质的介电虚部响应数据有明显差异。0.3 m L分散样品在3 m L分散介质中分散时,壬酸、油酸、新润滑油及对应的氧化润滑油体系的介电谱实部和虚部响应数据与柴油分散介质之间的差异具有不同特点,且施加直流偏置电压对分散过程有较大促进作用。研究结果证明,介电谱能够较好地表征不同分散体系的介电亚微相态特征。     

燃汽轮机作为坦克动力的现状与分析

阐述了美国、俄罗斯应用燃汽轮机作为坦克动力的现状。假设将俄罗斯ГТД-1250燃汽轮机及其传动装置装入国产某型坦克动力舱,通过对发动机牵引力和燃油消耗量的计算,并与原型坦克进行对比分析,结果表明：燃汽轮机作为坦克动力在性能上能够满足使用要求。     

加油站移动式油气回收工艺及装置应用研究

加油站收油作业中存在大量油气损耗,不但造成资源浪费,而且带来了严重的安全隐患.在综合多种加油站油气回收技术的基础上,提出了加油站移动式油气回收装置及工艺技术方案.它不仅提高了油气回收效率,具有经济实用,操作简便等特点,而且实现了一套装置多个加油站的灵活共用.它还改善了现有的固定吸附式油气回收装置所存在的占地面积大,投资...     

科氏流量计信号频率的变步长直接估计算法

研究科氏流量计频率估计方法对提高其测量精度具有重要意义.分析了变步长直接频率估计( VS-DFE)方法的原理,归纳出一种基于VS-DFE的科氏流量计信号频率估计算法,给出了算法基本思想、流程和实现步骤.分别针对两种常见流量状态下科氏流量计的固定频率信号和时变信号进行仿真分析,并与离散频谱校正法进行了比较.仿真结果表明,...     

基于OFD-LFM信号的MIMO雷达微多普勒效应分析

多输入多输出(MIMO)雷达系统利用空间分集技术,能够在不同视角接收目标回波信号,与传统单基雷达系统相比,可以提取更丰富的目标特征信息,因而大大提高了雷达的目标运动参数估计精度。基于MIMO雷达系统,详细推导了正交频分线性调频信号体制下目标部件旋转引入的微多普勒效应,通过取多组观测数据的数学期望对旋转半径进行了参数估计,最后的仿真实验验证了理论分析的结果,得到的旋转半径估值与真实值非常接近。     

非平稳噪声背景下DOA分步估计方法研究

针对相干和非相干信源同时存在的情况,结合斜投影理论和互相关矢量Toeplitz矩阵重构(CVTR)的方法,提出一种新的信源DOA分步估计方法。该方法把相干信源和非相干信源分开分辨,对相干信源用CVTR方法来恢复为满秩,避免了常规平滑算法阵列孔径损失大、运算量大的缺点;用斜投影算子而非差分方法对信源进行分离,不受相关矩阵须为Toeplitz结构的限制,使得算法可适用于任意阵列结构形式。这种分步分辨思路可有效增强信源过载能力,同时在互相关矢量Toeplitz矩阵重构过程中,可把非平稳噪声协方差矩阵转换成白噪声结构,使得算法对非平稳噪声有较好的适应能力。     

Signal‐to‐interference‐plus‐noise ratio estimation for wireless communication systems: Methods and analysis

The Signal‐to‐Interference‐plus‐Noise Ratio (SINR) is an important metric of wireless communication link quality. SINR estimates have several important applications. These include optimizing the transmit power level for a target quality of service, assisting with handoff decisions and dynamically adapting the data rate for wireless Internet applications. Accurate SINR estimation provides for both a more efficient system and a higher user‐perceived quality of service. In this paper, we develop new SINR estimators and compare their mean squared error (MSE) performance. We show that our new estimators dominate estimators that have previously appeared in the literature with respect to MSE. The sequence of transmitted bits in wireless communication systems consists of both pilot bits (which are known both to the transmitter and receiver) and user bits (which are known only by the transmitter). The SINR estimators we consider alternatively depend exclusively on pilot bits, exclusively on user bits, or simultaneously use both pilot and user bits. In addition, we consider estimators that utilize smoothing and feedback mechanisms. Smoothed estimators are motivated by the fact that the interference component of the SINR changes relatively slowly with time, typically with the addition or departure of a user to the system. Feedback estimators are motivated by the fact that receivers typically decode bits correctly with a very high probability, and therefore user bits can be thought of as quasipilot bits. For each estimator discussed, we derive an exact or approximate formula for its MSE. Satterthwaite approximations, noncentral F distributions (singly and doubly) and distribution theory of quadratic forms are the key statistical tools used in developing the MSE formulas. In the case of approximate MSE formulas, we validate their accuracy using simulation techniques. The approximate MSE formulas, of interest in their own right for comparing the quality of the estimators, are also used for optimally combining estimators. In particular, we derive optimal weights for linearly combining an estimator based on pilot bits with an estimator based on user bits. The optimal weights depend on the MSE of the two estimators being combined, and thus the accurate approximate MSE formulas can conveniently be used. The optimal weights also depend on the unknown SINR, and therefore need to be estimated in order to construct a useable combined estimator. The impact on the MSE of the combined estimator due to estimating the weights is examined. © 2004 Wiley Periodicals, Inc. Naval Research Logistics, 2004     

基于正则化的多平台多传感器导航定位和探测偏差估计

针对影响舰载雷达探测误差主要为平台导航定位误差和传感器自身探测误差,对这两类误差的影响因素进行了分析,首次综合考虑这两种系统误差,提出了一种基于正则化的多平台导航定位及探测偏差估计方法,利用不同舰艇上传感器对公共目标探测的迭合条件,建立系统误差观测方程,利用LS对两种系统误差同时进行了估计,并在偏差估计中采用正则化估计方法,提高估计结果的稳定性,最后进行了仿真验证,仿真效果验证了算法的有效性,具有较高的工程应用价值。     

改进的高脉冲重复频率雷达多假设距离估计方法

高脉冲重复频率雷达目标距离估计时面临距离模糊问题,因此必须采取一定方法解距离模糊。现有方法大都需要在每个驻留时间内至少两帧(包括两帧)检测到目标来实现目标距离估计,多假设方法虽然不要求在每个驻留时间内都需至少两帧检测到目标,但是当模糊区间发生变化时会出现目标距离估计错误。针对现有多假设方法的不足,提出改进的多假设方法,通过建立相关波门来判断目标所在的模糊区间是否改变并对目标状态作出修正,实现对模糊区间发生变化时目标距离的正确估计。仿真表明,方法可以不受模糊区间变化的影响,以较高精度实现目标距离估计。