节点文献
基于GSM信号的无源雷达动目标检测技术
Moving Target Detection Techniques in GSM Based Passive Radar
【作者】 阙俊才；
【导师】 王俊；
【作者基本信息】 西安电子科技大学 ， 信号与信息处理， 2011， 硕士
【摘要】 外辐射源雷达系统通过接收空中目标对外辐射源的回波,可以对空中目标进行检测、定位及跟踪。相对于有源单基地雷达,基于外辐射源的无源雷达以其抗干扰、抗反辐射导弹、抗低空突防和反隐身等特性,正逐渐成为雷达系统的一个重要发展方向。论文对基于GSM信号的无源雷达动目标检测技术进行了研究。首先综述了课题研究的背景及意义。然后介绍了GSM信号和基于该信号的无源雷达的特性,得到了实测GSM信号的时域图、频谱图和模糊函数图,同时仿真了该系统的威力作用范围。接着介绍了波束形成的相关知识,仿真分析了LCMV波束形成器。最后,详细分析了基于GSM信号的无源雷达动目标检测技术,给出了基于GSM信号的无源雷达系统中估计直达波方向的一种比较精确的方法,并通过仿真验证了该方法的有效性;重点分析了外辐射源雷达系统动目标检测的方法,并通过仿真验证了这种方法的有效性,同时,根据该体制雷达系统中存在较多干扰的现象,仿真分析了干扰信号是否会影响目标检测的问题,仿真结果表明,存在数目较多且能量较强的干扰信号会使系统无法检测到目标。
【Abstract】 Using the echo wave which is reflected from the targets illuminated by the external radiators, passive radar can detect, locate and track the aerial targets. The multi-static radar system based on the external radiators is superior to the active mono-static radar system in anti-jamming, anti-ARM, anti-stealth and so on, becoming an important branch of radar systems.The paper discusses the study on moving target detection techniques in GSM signal based passive radar. The background and significance of the study are introduced at the beginning of the paper. Then the characteristics of the GSM and passive radar based on the signal are brought forward. The time-domain, frequency-domain and ambiguity function figures based on the real data are obtained. Meanwhile, the detection range of the system is simulated. Moreover, beamforming techniques are introduced and LCMV beamforming algorithm is simulated and analyzed. Finally, the moving target detection techniques in GSM signal based passive radar are analyzed in detail. A more accurate approach of estimating the bearing of the direct-wave is proposed and the effectiveness of the approach is verified with the simulation. The method of target detection is analyzed in detail and the effectiveness of the method is verified with simulation. Because of the phenomenon that there exist many interference signals in this kind of radar system, a problem whether these signals would influence the target detection is simulated and analyzed. The simulation results reveal that the system can’t detect the target when there exist many strong power interference signals.