可靠性增长模型在制导雷达可靠性评估中的应用

以制导雷达研究的全过程现场信息为基础，应用可靠性增长模型（ＡＭＳＡＡ）来评定某型制导雷达的可靠性增长，取得了较好的经济效益，为应用可靠性理论解决实际的工程问题提供了有益的实例。     

雷达信号处理MTI／MTD的性能分析和仿真研究

介绍了雷达信号处理技术中MTI/MTD的基本原理,对其性能进行了分析,研究了实现MTI/MTD的仿真方法,并在Simulink仿真平台上构建了MTI/MTD的仿真模型,最后给出了仿真结果。经分析可知,此仿真实现了雷达信号处理中的MTI/MTD,可为雷达系统建模仿真以及雷达信号处理技术和抗干扰技术的研究提供仿真支持。     

基于BP神经网络的雷达装备维修质量评估研究

通过对雷达装备维修质量影响因素和众多参数进行分析权衡,建立了装备修后维修质量评估指标体系,鉴于评价体系包含许多复杂的不确定性因素,为衡量其对维修质量的影响程度,弥补传统评估方法的不足,构建了基于BP神经网络的雷达装备修后维修质量评估模型,并通过实例验证了模型的科学性、合理性和公正性。     

An analysis of the topside ionosphere parameters based on the long-duration Irkutsk incoherent scatter radar measurements

The topside ionosphere parameters are studied based on the long-duration Irkutsk incoherent scatter radar (52.9N, 103.3E) measurements conducted in September 2005, June and December 2007. As a topside ionosphere parameter we chose the vertical scale height (VSH) related to the gradient of the electron density logarithm above the peak height. For morphological studies we used median electron density profiles. Besides the median behavior we also studied VSH disturbances (deviations from median values) during the magnetic storm of September 11th 2005. We compared the Irkutsk incoherent scatter radar data with the Millstone Hill and Arecibo incoherent scatter radar observations, the IRI-2007 prediction (using the two topside options) and VSH derived from the Irkutsk DPS-4 Digisonde bottomside measurements.     

基于真实场景的SAR回波模拟方法研究

SAR原始回波模拟在系统设计及成像算法验证等方面具有重要的理论及工程实践意义。文中在分析并建立合成孔径雷达回波信号数学模型的基础上,研究一种基于真实场景的SAR回波模拟方法。该方法利用SAR真实场景图像的灰度信息近似求得场景后向散射系数,根据雷达脉冲工作流程生成回波数据,具有实现简单、计算量小、回波模拟结果精确等优点。通过点目标、面目标和真实场景回波的仿真实验,从回波数据的统计特性以及图像级角度验证了其可行性。     

Parallel Distributed CFAR Detection Optimization Based on Genetic Algorithm with Interval Encoding

Aiming at parallel distributed constant false alarm rate (CFAR) detection employing K/N fusion rule, an optimization algorithm based on the genetic algorithm with interval encoding is proposed. N-1 local probabilities of false alarm are selected as optimization variables. And the encoding intervals for local false alarm probabilities are sequentially designed by the person-by-person optimization technique according to the constraints. By turning constrained optimization to unconstrained optimization, the problem of increasing iteration times due to the punishment technique frequently adopted in the genetic algorithm is thus overcome. Then this optimization scheme is applied to spacebased synthetic aperture radar (SAR) multi-angle collaborative detection, in which the nominal factor for each local detector is determined. The scheme is verified with simulations of cases including two, three and four independent SAR systems. Besides, detection performances with varying K and N are compared and analyzed.     

空域交通复杂度计算方法研究

空域复杂度是指管制员所指挥的空域的复杂程度,包括可见的飞机运行、不可见的运行程序等,决定着管制员的工作负荷。而空域交通复杂度则是可见的飞机运行的部分,为其重要组成部分。将对空域交通复杂度进行分析研究,考虑到飞机分布不均匀,修正了飞机的数量,通过对飞机在垂直方向、水平方向、飞行速度的影响分析,得出了交通复杂度的计算公式。并利用雷达模拟机对某一空域进行了测算．得出该空域的交通复杂度的分布。     

Intelligent decision-making algorithm for airborne phased array radar search tasks based on a hierarchical strategy framework

To address the guided search task of airborne phased array radar in the scenarios of large airspace with widespread distribution of cluster targets in Beyond Visual Range(BVR)air combat,a hierarchical strategy framework based on deep reinforcement learning is proposed to guide different stages of search tasks.Firstly,an airspace set-covering model and a radar parameter optimization model for the guided search task of cluster targets are established.Secondly,the hier-archical strategy framework including upper-level and lower-level strategies is constructed based on the above models.Finally,the happo-rgs algorithm is proposed for feature extraction from Markov continuous observation sequences,to enhance the training effectiveness and improve the algorithm convergence speed.Simulation results show that the trained agent can make precise autonomous decisions rapidly based on airspace-target covering situation and target guidance information which significantly improves the radar search performance in the forementioned scenarios compared to traditional algorithms.     

一种多目标干扰时的干扰资源管理方法

指出研究多目标干扰时的干扰资源管理方法的必要性.给出了干扰资源管理方法的管理流程.从雷达数据库和干扰样式库管理、威胁识别、资源分配、干扰源和干扰通道管理等方面详细介绍该方法的具体内涵和要求.最后说明该方法的改进途径和软件升级优势.     

The bistatic radar capabilities of the Medicina radiotelescopes in space debris detection and tracking

An accurate measurement of the position and trajectory of the space debris fragments is of primary importance for the characterization of the orbital debris environment. The Medicina Radioastronomical Station is a radio observation facility that is here proposed as receiving part of a ground-based space surveillance system for detecting and tracking space debris at different orbital regions (from Low Earth Orbits up to Geostationary Earth Orbits). The proposed system consists of two bistatic radars formed by the existing Medicina receiving antennas coupled with appropriate transmitters. This paper focuses on the current features and future technical development of the receiving part of the observational setup. Outlines of possible transmitting systems will also be given together with the evaluation of the observation strategies achievable with the proposed facilities.