Infrared signature studies of aerospace vehicles

Infrared (IR) emissions from aircraft are used to detect, track, and lock-on to the target. MAN Portable Air Defence Systems (MANPADS) have emerged as a major cause of aircraft and helicopter loss. Therefore, IR signature studies are important to counter this threat for survivability enhancement, and are an important aspect of stealth technology. This paper reviews contemporary developments in this discipline, with particular emphasis on IR signature prediction from aerospace vehicles. The role of atmosphere in IR signature analysis, and relation between IR signature level and target susceptibility are illustrated. Also, IR signature suppression systems and countermeasure techniques are discussed, to highlight their effectiveness and implications in terms of penalties.     

节约型校园创建与高校后勤管理研究

节约型校园的创建关系着高校的可持续发展,也是后勤管理工作面临的重要使命。在分析高校后勤管理现状的基础上,阐述了创建节约性校园的基本思路,在上述分析的基础上,提出了在节约型校园创建中后勤管理部门应采取的对策,有助于正确认识在创建节约型校园中后,勤管理应发挥的重要作用。     

智能化雷达对抗情报处理技术研究

随着雷达技术的迅猛发展,雷达信号的密度、复杂程度都大幅度提高,这就增加了雷达信号的不确定性因素。本文讨论了粗糙集理论、模糊集理论、证据理论和可能性理论等人工智能技术在雷达对抗情报处理中的应用。对雷达辐射源的型号和工作模式识别、雷达网信息以及所属平台信息的推理技术进行了探索研究,给出了研究建议。     

高重频激光器在光电对抗中的作用

介绍了高重频脉冲激光器在光电对抗中的作用,分别讨论了高重频脉冲激光对激光测距机和半主动激光制导武器实施干扰时对脉冲重复频率和峰值功率的要求,以及高重频脉冲激光对光电探测器件及光学薄膜的损伤。     

红外成像制导反舰导弹的电子对抗方法探析

介绍了红外成像制导反舰导弹的基本工作原理,分析了现有反导防御电子对抗系统的局限性,提出了对抗反舰导弹的几种电子对抗方法,对未来海战有一定的指导意义。     

有源拖曳式诱饵的干扰样式及对抗措施探讨

有源拖曳式诱饵是一种对导弹武器系统行之有效的干扰措施,了解其可能施放的干扰信号样式,有助于研究导弹对抗有源拖曳式诱饵干扰。通过数字仿真分析,研究了不同干扰信号样式对PD导引头所造成的干扰效果,分析了导引头可采取的抗干扰措施,以及后续的研究方向。     

国外光电对抗技术发展综述

介绍了近期国外光电对抗技术的发展,包括导弹光电告警器、光电干扰技术和装备、光电对抗仿真试验系统等方面。     

聚焦弹道导弹攻防技术的热点

概述了弹道导弹攻防技术的各个热点,对在外大气层反导拦截的方式提出了多种不同的技术挑战,包括多种传感器融合算法、高速成像识别控制技术、机动技术以及电子对抗技术在弹道导弹上的应用等。     

An approach for parameter estimation of combined CPPM and LFM radar signal

In this paper, the problem of parameter estimation of the combined radar signal adopting chaotic pulse position modulation (CPPM) and linear frequency modulation (LFM), which can be widely used in electronic countermeasures, is addressed. An approach is proposed to estimate the initial frequency and chirp rate of the combined signal by exploiting the second-order cyclostationarity of the intra-pulse signal. In addition, under the condition of the equal pulse width, the pulse repetition interval (PRI) of the combined signal is predicted using the low-order Volterra adaptive filter. Simulations demonstrate that the proposed cyclic autocorrelation Hough transform (CHT) algorithm is theoretically tolerant to additive white Gaussian noise. When the value of signal noise to ratio (SNR) is less than 4 dB, it can still estimate the intra-pulse parameters well. When SNR = 3 dB, a good prediction of the PRI sequence can be achieved by the Volterra adaptive filter algorithm, even only 100 training samples.