某型舰炮环形薄壁结构件加工质量控制

针对某型舰炮环形薄壁结构件加工质量不稳定问题,从该环形薄壁结构件的加工方法、数控编程、刀具选择、切削用量选择及校正等多方面进行了探讨,提出了解决问题的工艺措施与途径,提高了该零件的加工质量。     

基于灰色层次分析法的有人/无人协同作战效能评估

当前和今后相当长一段时期内,战场的机械化、信息化、智能化将长期并存、并行发展。有人/无人协同作战可以通过各无人系统与有人系统之间的资源调度、态势统一、任务整合来进一步提高作战系统的作战效能。基于灰色层次分析法,结合径向基函数（Radial Basis Function,RBF）神经网络进行数据整理,对有人/无人协同作战效能进行科学评估,提出了一种新的评估模型,为优化协同作战体系结构和提高协同作战能力提供了理论依据。围绕有人/无人协同作战的作战任务和能力需求构建了相关评估指标体系,基于灰色层次分析法与RBF神经网络设计了有人/无人协同作战评估模型,并进行了仿真实验分析。仿真结果表明,该方法能够实现对有人/无人协同作战效能客观有效的评估。     

多视角红外图像目标识别方法

随着红外传感器的性能提升和应用普及,获取同一场景下同一目标的多视角图像成为可能。为此,提出联合多视角红外图像的目标识别方法。首先对多视角红外图像进行聚类分析,获取多个视角子集。在每个视角子集中,红外图像具有较强的相关性。对于不同的视角子集,它们相对独立。为充分利用这种相关性和独立性,采用联合稀疏表示（JSR）对单个视角子集进行决策。特别地,对于只包含一个视角的子集,则直接采用经典的稀疏表示分类（SRC）进行处理。对于不同视角子集获取的决策结果,基于线性加权的思想进行融合处理,并根据融合后的决策变量判决多视角红外图像所属的目标类别。因此,所提方法在分析多视角红外图像内在关联性的基础上,分别对局部相关性和整体的独立性进行考察,并通过决策层的融合将两者融为一体,提高了最终决策的可靠性。实验中,在采集的多类交通车辆红外图像上进行识别,分别在原始图像、加噪声图像以及部分遮挡图像上对方法进行测试和验证,经过对比分析验证了提出方法的有效性。     

G/S模式下Android地理信息浏览器缓存技术研究

为了研究G/S(geographic information browser/ distributed spatial data servers)模式客户端动态聚合服务,提出了一种在Android系统下基于G/S模式的地理信息浏览器缓存技术。利用移动终端硬件与软件技术的发展优势,将缓存结构分为3部分：用于存储显示地图瓦片的显示缓存,用于预存取的预存取缓存和由SQLite数据库管理的外部缓存。测试结果表明,该技术在提高地图瓦片加载速度的同时消除了移动终端在访问空间数据时的网络瓶颈。     

一种高可靠性、低功耗单节锂电池保护电路

A single lithium-ion battery protection circuit with high reliability and low power consumption is proposed.The protection circuit has high reliability because the voltage and current of the battery are controlled in a safe range.The protection circuit can immediately activate a protective function when the voltage and current of the battery are beyond the safe range.In order to reduce the circuit’s power consumption,a sleep state control circuit is developed.Additionally,the output frequency of the ring oscillation can be adjusted continuously and precisely by the charging capacitors and the constant-current source.The proposed protection circuit is fabricated in a 0.5 m mixed-signal CMOS process.The measured reference voltage is 1.19 V,the overvoltage is 4.2 V and the undervoltage is 2.2 V.The total power is about 9 W.     

Concurrent Blind Channel Equalization in Impulsive Noise Environments

In some communication systems the trans- mitted signal is contaminated by impulsive noise with a non-Gaussian distribution. Non-Gaussian noise caused significant performance degradation to communication re- ceivers. The new constant modulus blind equalizer based on Fractional lower-order statistics of the equalizer input, which is defined as FLOS_CMA, is able to mitigate impul- sive channel noise while restoring the constant modulus character of the transmitted communication signal. How- ever, like the Constant modulus algorithm （CMA）, the steady-state Mean square error （]VISE） of the FLOS_CMA algorithm may not be sufficient low for the system to ob- tain adequate performance. This paper proposes a con- current equalizer, in which a Decision-directed least mean p norm （DD_LMP） equalizer operates cooperatively with a FLOS_CMA equalizer, controlled through a non-linear link. Simulation results using M-QAM and 8-PSK signal- ing have shown that besides the capability of compensating the phase offset, the proposed concurrent FLOS_CMA and DD_LMP blind equalizer has faster convergence rate and lower steady-state MSE than the FLOS_CMA approach.     

基于小波变换和空间相关性fMRI数据

提出了一种组合小波域统计分析和空间相关性检验的方法来检测fMRI功能激活区域.该方法首先利用Ruttimann等提出的小波方法检测到激活体素,然后逐体素分析它们与其三维空间26-邻域体素血流动力学响应的相关性,并进行空间相关性检验来得到最终激活区域.实验结果表明:该方法是一种快速可靠的fMRI功能激活区域检测方法.     

Adaptive blind equalization for MIMO systems uadaptive blind equalization for MIMO systems under α-stable noise environmentnder α-stable noise environment

The presence of non-Gaussian impulsive noise in wireless system can degrade the performance of existing equalizers and signal detectors. In this paper, the problem of blind source separation and equalization for MIMO systems in heavy-tailed impulsive noise is studied. A generalized multiuser constant modulus cost function by employing the fractional lower-order statistic of the equalizer input signal is proposed. The associated adaptive blind equalization algorithm based on a stochastic gradient descent method is defined as fractional lower-order multi-user constant modulus algorithm (FLOS MU CMA). Computer simulations are presented to illustrate the performance of the new algorithm.     

Fe73.5Cu1Nb3Si13.5B9纳米晶软磁粉体的制备工艺与微波电磁性能

研究热处理工艺、材料粒度对Fe73.5Cu1Nb3Si13.5B9材料微波电磁性能的影响,对该类材料的微波电磁性能和吸波性能进行测试。结果表明:热处理工艺对材料的微波电磁性能产生较大的影响,达到晶化条件的热处理工艺有利于提高材料的电磁性能;随着材料粒度的减小,微波电磁性能提高,电磁参数之间的匹配性提高;Ⅴ级粒度材料的最低反射率达到-12 dB,低于-5 dB的频宽达12.5 GHz。     

一种高精度弹道导弹落点预测方法

为高精度预测弹道导弹落点,提出了高精度落点预测算法,即首先基于椭圆弹道粗估计所划定的落点范围搜索可能目标,然后基于4D外弹道模型应用遗传算法对弹道导弹弹道进行精细预测.该算法可快速划定目标搜索范围并精确生成弹道导弹轨迹;以导弹必定攻击我方军事目标的基本假定改变了以往算法仅依靠弹道特性的局限,并支持多弹头弹道导弹的落点预测.仿真实验表明该算法的运行时间平均在2s以内,精度在100m范围,可以满足弹道导弹预警的时间和精度要求,也可为多弹头同时预测落点.