机载电子侦察系统建模仿真

发布时间：2019-01-12 08:22

【摘要】：随着国际作战任务日益复杂,传统的防御性电子战系统,逐渐成长为兼具探测、跟踪甚至攻击能力的关键设备。相应的电子战仿真,渗透于电子战理论验证、设备性能评估等整个系统研制周期,真实再现了其面临的不可再生的复杂时变电磁环境,扩展性、通用性好。本文结合仿真和应用需求,设计了针对电子侦察系统的通用仿真模型库,将电子侦察仿真模型库划分为三部分:电磁环境模型、接收机模型、信号处理模型。重点针对全面“宽开”性能的接收机,时域、频域和空域参数测量方法,脉内调制特性识别以及信号的分选识别等算法原理进行了阐述。接收机模型采用多相滤波结构,实现数字信道化,完成多倍降速,减轻了后端信号处理的数据吞吐率压力。抗干扰能力强,较好地均衡了截获概率和频率分辨率的需求。时域参数测量模型对接收机输出信号提取包络并增强,结合自适应检测门限,间接测量得到到达时间、脉冲宽度、脉冲幅度等参数。频域参数测量以数字信道化接收机实现的频率粗测为基础,讨论了相位差分法。空域参数测量分析了常见的四通道比幅测向和二维双基线相位干涉仪体制,结合前述时域、频域参数测量,形成完整的脉冲描述字。脉内调制类型识别模块主要介绍了时域分析中的瞬时自相关算法,实现了连续波、线性调频、数字相位调制、数字频率调制等常见脉内调制类型的识别及相关参数的测量。而针对电子对抗的关键技术信号分选,对比分析了统计直方图分选、累积差直方图、序列差直方图、PRI变换法及其改进算法。最后,基于成熟的算法原理及仿真方案,以Simulink、RTW为工具,形成了电子侦察仿真模型库,在此基础上完成了典型机载ESM系统的信号级弱实时仿真。经过仿真分析,验证了信道化接收机、多通道比幅测向和干涉仪、超密集信号环境中信号分选识别等基本关键算法的有效性。
[Abstract]:With the increasing complexity of international combat tasks, the traditional defensive EW system has gradually grown into a critical equipment with both detection, tracking and even attack capabilities. The corresponding simulation of electronic warfare permeates the whole development cycle of electronic warfare theory verification, equipment performance evaluation and so on. It truly reproduces the complex and complex time-varying electromagnetic environment that it faces, which is extensible and versatile. Based on the simulation and application requirements, a general simulation model base for electronic reconnaissance system is designed in this paper. The simulation model base of electronic reconnaissance is divided into three parts: electromagnetic environment model, receiver model and signal processing model. In this paper, the principles of receiver, time domain, frequency domain and spatial domain parameter measurement, pulse modulation characteristic recognition and signal sorting recognition are discussed in detail. The receiver model adopts multi-phase filter structure to realize digital channelization and achieve multi-fold speed reduction, which reduces the pressure of data throughput in back-end signal processing. The ability of anti-jamming is strong and the demand of probability of interception and frequency resolution is well balanced. The time domain parameter measurement model extracts the envelope and enhances the output signal of the receiver, combining with the adaptive detection threshold, indirectly measures the parameters such as arrival time, pulse width, pulse amplitude and so on. The frequency domain parameter measurement is based on the frequency coarse measurement realized by the digital channelized receiver, and the phase difference method is discussed. The conventional four-channel amplitude-specific direction finding system and two-dimensional dual-baseline phase interferometer system are analyzed in this paper. The pulse description word is formed by combining the parameters measurement in time domain and frequency domain. Intra-pulse modulation type recognition module mainly introduces the instantaneous autocorrelation algorithm in time domain analysis. It realizes the recognition of the common intra-pulse modulation types such as continuous wave, linear frequency modulation, digital phase modulation, digital frequency modulation, and the measurement of related parameters. The statistical histogram sorting, cumulative difference histogram, sequence difference histogram, PRI transform and its improved algorithm are compared and analyzed for the key technology of electronic countermeasure signal sorting. Finally, based on the mature algorithm principle and simulation scheme, the electronic reconnaissance simulation model base is formed by using Simulink,RTW as a tool. Based on this, the signal level weak real-time simulation of typical airborne ESM system is completed. The effectiveness of the basic key algorithms such as channelized receiver, multi-channel amplitude-specific direction finding and interferometer, signal sorting and recognition in super-dense signal environment has been verified by simulation and analysis.
【学位授予单位】：西安电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN957.51

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