【作者】 陈晓东；

【导师】 王建新； 王强；

【作者基本信息】 南京理工大学 ， 电子与通信工程， 2009， 硕士

【摘要】 现代电子情报侦察系统ELINT和电子支援系统ESM要适应现在和未来的电子战信号环境,必须具备快速分析、实时或准实时处理各种特殊雷达信号的能力,对于雷达信号的分选仅仅采用传统的五参数描述字(脉冲幅度、到达时间、到达方位、脉宽、载频)的方法已经不能完全满足要求。在现代日益密集复杂的电磁环境下,要可靠的分选和识别雷达信号高可信度的判别雷达属性,必须对雷达信号脉内特征进行分析,它是雷达信号分选和识别的重要内容,对雷达信号进行细微特征分析、提取更多的特征参数来深刻地描述雷达信号已成为必然。随着数字射频存储DRFM技术和中频直接采样技术的不断发展和应用,数字信号处理技术和高速数字电路的发展特别是作为某种特定算法的大规模专用处理芯片的飞速发展,为人们准实时地分析雷达信号的细微特征提供了可能。本文从分析单个雷达脉冲信号的细微特征出发将原有各种脉内调制分析算法进行分析和比较,评估出它们各自的实时性、准确性、多信号分选(实际进行处理的信号不会是单脉冲信号)和抗噪声的能力,找出了每种算法的最佳检测信号,针对各种不同的雷达信号(常规信号、CW频率分集、线性调频(LFM)、相位编码(PSK)、频率编码(FSK))确定最佳的分析方法,力图达到对调制类型的实时识别和检测。更多还原

【Abstract】 Modern ELINT and ESM must adapt present and future electron war signal environment, and possess fast analysis, real-time or quasi-real-time processing ability of various special radar signals. For radar signals’sorting, the processing method that just adopts the conditional five parameter description words including PA, TOA, DOA, PW and frequency, couldn’t absolutely satisfy modern require. Under modern increasingly dense and complicated electronic magnetic environment, before credible sorting and identifying radar signals, and high reliability of distinguishing radar property, we must analyze radar signal in-pulse character, and it is the important scheme of radar signals’sorting and identifying. It is necessary to go along remote character analysis and distill further character parameters for describing radar signals.With the increasingly development and application of DRFM and intermediate frequency direct sampling technology, the development of digital signal processing and high digital circuit, especially as some special algorithms’large scale processing chip, brings the feasibility into quasi-real-time radar signal remote character.This paper analyzes and compares the foregone in-pulse modulation analysis algorithm via analyzing single radar signal’s remote character, evaluates their own real time character, veracity, multi-signal sorting and anti-noise ability, finds out furthest detection signal of each algorithm. Aiming at various different radar signals, including normal pulse, CW frequency diversity, LFM, PSK, FSK, we will ensure best analysis method, and try hard to achieve real time identifying and detecting to modulation styles.更多还原