量子技术在武器装备中的应用展望

量子技术是基于量子力学和其他学科交叉产生的新兴学科,已经涉及到计算、信息、导航、能源等多个应用领域。近年来,随着量子技术的快速发展和应用潜力,量子技术已成为研究热点并逐步走向应用。与此同时,世界新军事革命发展中武器装备须具有远程精确化、职能化、隐身化、无人化的技术特点。结合量子技术的特点,从量子计算,量子通信与量子密码、量子控制、量子导航、量子雷达,量子电池,量子技术对作战模式的改变等方面对武器装备领域的应用、作战能力和作战模式进行阐述。研究表明,量子计算的发展必然使现有武器装备的性能得到提高、作战能力得到提升,进而改变现有作战模式。     

温度对半导体激光器退化的影响

采取等效电路模型仿真和加速退化试验相结合的方法研究温度对半导体激光器不同退化模式的影响规律。针对半导体激光器有源区退化和腔面退化进行分析,发现有源区退化会使半导体激光器阈值电流增大,而腔面退化会使半导体激光器斜率效率减小;进行了半导体激光器热特性建模与仿真,发现温度升高会使半导体激光器阈值电流增大;利用半导体激光器加速退化试验平台进行了半导体激光器加速退化试验。仿真与试验结果证明:温度升高会加剧半导体激光器腔面退化,而对有源区退化无显著影响。上述结论对进一步完善半导体激光器温度-退化仿真模型,研究温度对半导体激光器退化的作用机理和防护措施有积极作用。     

空间信息支持高能激光武器应用研究*

依据空间信息支持现代作战的主要内容,介绍了五大类空间信息状况,分析了新概念武器高能激光的基本原理,并就其应用过程建立了UML模型。在此基础上,设计了空间信息支持高能激光武器应用系统的框架,并就高能激光武器对空间信息的需求进行了重点分析,而后以信息的转换与传递为主线,探讨了高能激光武器运用空间信息的流程。最后对该领域研究的趋势和发展前景做出了展望,并提出对其未来发展的要求。     

一种基于滑模变结构观测器的故障检测方法

提出一种基于滑模变结构观测器的残差生成及故障检测方法.利用滑模变结构所具有的对未知输入扰动的不变性,移除外界扰动对残差的影响,使残差只对故障信号敏感,从而提高故障检测的准确性,较好地解决基于状态估计的故障检测方法中检测鲁棒性与灵敏度之间的矛盾.仿真验证结果表明了该故障检测方法有较高的检测鲁棒性,同时对小幅值故障较为灵敏.     

基于部分可辨识振动系统的载荷恢复方法

在复模态分析和参数辨识的基础上,对部分可辨识振动系统的载荷识别问题进行了研究,提出了基于部分可辨识复模态参数的载荷恢复方法。恢复模型存在幅值模糊和相位模糊,不存在排列模糊。数值仿真验证了该方法的有效性,并讨论了提高恢复精度的方法。     

Experimental study on explosion dispersion process of a multi-layer composite charge under different initiation modes

The influence of initiation modes on the explosive dispersion process of the multi-layer composite charge (MCC) was studied. Overpressure sensors and high-speed photography system were used to investigate the energy release process of an MCC with a specific structure. The shock wave pressure and explosive dispersion characteristics of the MCC under different initiation modes were compared. The forming and expanding process of the shock wave of the composite charge under different initiation modes was determined. The separation position of the shock wave and fireball interface was determined. The calculation formulas of the shock radius and overpressure of the composite charge are presented. The radius of the shock wave of the composite charge was significantly affected by the initiation mode. Moreover, the development process of the composite explosive fireball under different initiation modes was analyzed, the variation rules of the composite charge dispersion radius and fireball dispersion velocity with time were obtained under the different initiation modes, the explosion energy release rate of composite charge under simultaneous initiation modes was the highest, and the peak overpressure under the simultaneous initiation mode was 1.61 times that of central single-point initiation.     

A novel noise reduction technique for underwater acoustic signals based on complete ensemble empirical mode decomposition with adaptive noise,minimum mean square variance criterion and least mean square adaptive filter

Underwater acoustic signal processing is one of the research hotspots in underwater acoustics. Noise reduction of underwater acoustic signals is the key to underwater acoustic signal processing. Owing to the complexity of marine environment and the particularity of underwater acoustic channel, noise reduction of underwater acoustic signals has always been a difficult challenge in the field of underwater acoustic signal processing. In order to solve the dilemma, we proposed a novel noise reduction technique for underwater acoustic signals based on complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN), minimum mean square variance criterion (MMSVC) and least mean square adaptive filter (LMSAF). This noise reduction technique, named CEEMDAN-MMSVC-LMSAF, has three main advantages: (i) as an improved algorithm of empirical mode decomposition (EMD) and ensemble EMD (EEMD), CEEMDAN can better suppress mode mixing, and can avoid selecting the number of decomposition in variational mode decomposition (VMD); (ii) MMSVC can identify noisy intrinsic mode function (IMF), and can avoid selecting thresholds of different permutation entropies; (iii) for noise reduction of noisy IMFs, LMSAF overcomes the selection of decomposition number and basis function for wavelet noise reduction. Firstly, CEEMDAN decomposes the original signal into IMFs, which can be divided into noisy IMFs and real IMFs. Then, MMSVC and LMSAF are used to detect identify noisy IMFs and remove noise components from noisy IMFs. Finally, both denoised noisy IMFs and real IMFs are reconstructed and the final denoised signal is obtained. Compared with other noise reduction techniques, the validity of CEEMDAN-MMSVC-LMSAF can be proved by the analysis of simulation signals and real underwater acoustic signals, which has the better noise reduction effect and has practical application value. CEEMDAN-MMSVC-LMSAF also provides a reliable basis for the detection, feature extraction, classification and recognition of underwater acoustic signals.     

地铁火灾应急预案的制定

介绍地铁火灾发生时的几个主要的特点以及其巨大的危害性,引出了地铁火灾应急预案制定模式的重要性。通过对已有的资料进行研究、分析,同时结合实际,对地铁火灾应急预案制定时所包含的主要内容进行了科学的完善,得出了一个完整的预案制定模式。     

电磁脉冲武器对抗来袭目标可行性研究

针对电磁脉冲武器独特的毁伤机理,计算了杀伤覆盖区域和辐射到目标处的功率密度等作战能力指标,并以反舰导弹为例分析了强电磁脉冲的耦合途径,通过评估前后门耦合的电磁能量,在理论上论证了用电磁脉冲武器对抗来袭目标的可行性.     

舰艇作战系统工作模式及其作战对策分析*

探讨了基于敌情事件触发的舰艇作战系统工作模式及其作战对策。根据舰艇的内外部需求,依据传感器系统与武器系统所处的状态,提出了舰艇作战系统的五种工作模式。并研究了在敌情事件触发下,如何根据舰艇所处的工作模式,迅速做出相应的作战对策,给出各种模式下的模式转换流程。这种作战对策可使作战过程自动化、信息传输扁平化,从而提高舰艇在紧急状况下的反应速度。