多径条件下米波OFDM-MIMO雷达波束性能及特性分析

针对米波正交频分多路复用-多输入多输出(Orthogonal Frequency Division Multiplexing-Multiple Input Multiple Output, OFDM-MIMO)雷达波束形成问题,建立了米波条件下频分复用MIMO雷达阵列信号模型,理论导出了该体制下多径特性定量分析的理论框架、直达波和多径回波模型及其联合发射-接收双程方向图增益闭合表达式。提出了利用米波OFDM-MIMO雷达阵列双程方向图具有距离-角度二维分辨能力抑制多径算法。所提方法能够有效抑制阵列法线方向多径回波,同时有效抑制输出信干噪比周期性损失,且随频偏带宽的增大抑制能力进一步提升。     

Recent progress on transition metal oxides and carbon-supported transition metal oxides as catalysts for thermal decomposition of ammonium perchlorate

As a main oxidizer in solid composite propellants, ammonium perchlorate (AP) plays an important role because its thermal decomposition behavior has a direct influence on the characteristic of solid com-posite propellants. To improve the performance of solid composite propellant, it is necessary to take measures to modify the thermal decomposition behavior of AP. In recent years, transition metal oxides and carbon-supported transition metal oxides have drawn considerable attention due to their extraor-dinary catalytic activity. In this review, we highlight strategies to enhance the thermal decomposition of AP by tuning morphology, varying the types of metal ion, and coupling with carbon analogue. The enhanced catalytic performance can be ascribed to synergistic effect, increased surface area, more exposed active sites, and accelerated electron transportation and so on. The mechanism of AP decom-position mixed with catalyst has also been briefly summarized. Finally, a conclusive outlook and possible research directions are suggested to address challenges such as lacking practical application in actual formulation of solid composite propellant and batch manufacturing.     

A novel signal feature extraction technology based on empirical wavelet transform and reverse dispersion entropy

Feature extraction is an important part of signal processing, which is significant for signal detection, classification, and recognition. The nonlinear dynamic analysis method can extract the nonlinear characteristics of signals and is widely used in different fields. Reverse dispersion entropy (RDE) proposed by us recently, as a nonlinear dynamic analysis method, has the advantages of fast computing speed and strong anti-noise ability, which is more suitable for measuring the complexity of signal than traditional permutation entropy (PE) and dispersion entropy (DE). Empirical wavelet transform (EWT), based on the theory of wavelet analysis, can decompose a complex non-stationary signal into a number of empirical wavelet functions (EWFs) with compact support set spectrum, which has better decomposition performance than empirical mode decomposition (EMD) and its improved algorithms. Considering the advantages of RDE and EWT, on the one hand, we introduce EWT into the field of underwater acoustic signal processing and fault diagnosis to improve the signal decomposition accuracy; on the other hand, we use RDE as the features of EWFs to improve the signal separability and stability. Finally, we propose a novel signal feature extraction technology based on EWT and RDE in this paper. Experimental results show that the proposed feature extraction technology can effectively extract the complexity features of actual signals. Moreover, it also has higher distinguishing ability for different types of signals than five latest feature extraction technologies.     

双总线方式下的串口通信技术

针对军事电子信息系统对网络安全性和可靠性的要求,提出了一种具有双总线结构的互联系统。通过对外总线子系统中串行通信的研究,为外总线子系统中通信的实现提供了有力的保证。     

基于探索性分析法仿真的建模方法研究

针对探索性分析法的主要特点,探讨建立适合探索性分析法仿真的模型问题.提出了通过分解和校准建立多分辨率模型的方法,该方法包括对低分辨率模型的校准、对高分辨率模型的分解以及输入参数的取值方法,很好地解决了模型的实用以及模型的有效性问题,为探索性分析法仿真的应用提供了具体的方法指导.     

基于VMD和SVM的舰船辐射噪声特征提取及分类识别

针对复杂海洋背景下舰船声频辐射噪声特征提取困难的问题,提出一种基于变分模态分解、中心频率、复杂度特征和支持向量机的舰船辐射噪声特征提取及分类识别方法。对四类舰船辐射噪声信号使用变分模态方法分解,得到一定数量的固有模态函数。通过比较提取能量最大的固有模态函数中心频率和排列熵作为特征参数,并利用支持向量机方法对四类舰船信号样本进行分类识别。实验结果表明,该方法可以实现对舰船辐射噪声的特征提取,与已有方法对比,该方法具有较高的识别率。     

双层气囊隔振装置多目标协同姿态控制方法

针对双层气囊隔振装置高精度姿态平衡控制需求,提出多目标协同姿态控制方法。通过建立双层隔振装置动力学模型、充放气控制等效作用力模型,建立了控制响应特性分析模型。并基于多目标满意优化方法建立了多目标协同姿态控制方法,使得双层气囊隔振装置能够较好地适应上下层气囊隔振装置姿态耦合,实现姿态平衡控制,并可有效抑制结构弹性变形对姿态平衡控制的影响。在双层气囊隔振装置上验证了该控制方法的可行性。该方法将用于某型船舶大型发电机组双层气囊隔振系统,实现双层气囊隔振装置柔性支撑状态下的姿态平衡控制。     

基于不同能量值特征优选的水声目标识别

采用Bartlet平均周期图、小波变换和经验模态分解方法分别提取信号的频段能量值特征、IMF能量值特征,重点对IMF能量值特征进行特征优选。通过设计BP神经网络分类器,对实测的四类舰船目标的辐射噪声信号进行测试,取得了较好的识别效果。     

An eikonal equation based path planning method using polygon decomposition and curve evolution

Path planning is a key technique of autonomous navigation for robots, and the velocity field is an important part. Constructing velocity field in a complex workspace is still challenging. In this paper, an inner normal guided segmentation algorithm in a complex polygon is proposed to decompose the complex workspace in this paper. The artificial potential field model based on probability theory is then used to calculate the potential field of the decomposed workspace, and the velocity field is obtained by utilizing the potential field of this workspace. Path optimization is implemented by curve evolution, during which the internal force generated in the smoothing process of the initial path by a mean filter and the external force is obtained from the gradient of the workspace potential field. The parameter selection principle is deduced by analyzing the influence of several parameters on the path length and smoothness. Simulation results show that the designed polygon decomposition algorithm can effectively segment complex workspace and that the path optimization algorithm can shorten and smoothen paths.     

寿命周期费用分析中的数据采集问题探讨

寿命周期费用数据采集是寿命周期费用分析的关键问题之一。简要介绍了寿命周期费用的概念,探讨了寿命周期费用数据采集的目的与要求、费用数据的来源、内容、采集形式,以及对费用数据的处理等与寿命周期费用数据采集有关的问题。目的在于为寿命周期费用的数据采集提供一般性指导方法。