干涉仪测向系统研究
发布时间：2018-08-13 16:00
【摘要】：在现代复杂的战场环境中,电子战需要侦察系统在隐蔽安全的前提下得到敌方的辐射源参数信息和位置信息。无源探测系统可以很好的满足这一需求,而且作用距离比有源探测远。干涉仪测向技术由于测向准确度高、算法简单,是无源探测系统中很重要的测向技术方法,并在现代军事技术中得到了广泛的应用。干涉仪测向方法通过测量各基线间信号的相位差来求方位角。接收的辐射源信号都伴随着各种环境噪声,特别在信噪比较小时,来波方位角的测量误差会很大。针对以上问题,本文研究了频域分析干涉仪测向法。对每一路测向基线接收的信号进行频域分析求得有模糊相位,用长短基线法解模糊,通过最小二乘法求解相位角。首先本文研究了干涉仪测向的基本原理,给出了一维和二维线阵干涉仪测向方法,通过仿真分析表明当信噪比较高时,该方法的测量精度很高。但是测量误差会随着信噪比降低而增大。然后分析了求解相位的四大关键技术,并在不同信噪比条件下,对数字鉴相技术中的时域鉴相和频域鉴相进行仿真对比,以及对解模糊算法中的长短基线法和统计相位方差法进行仿真对比。结果表明数字鉴相技术中,频域鉴相在低信噪比条件下相位差测量精度优于时域鉴相;解模糊算法中,两方法的测量精度一致,但长短基线法的测量效率优于统计相位方差法。最后研究了频域分析干涉仪测向方法,并与一维线阵干涉仪时域分析法在不同信噪比条件下进行仿真对比。结果表明频域分析法适应信噪比改变的能力比时域分析法强。同时也研究了另一种干涉仪测向方法,即信号点长短基线法,与一维线阵干涉仪时域分析法在不同信噪比条件下进行仿真对比。结果表明时域分析法在低信噪比条件下测向的能力比信号点长短基线法强。频域分析法测量精度高,受信噪比变化的影响较小,是一种很实用的干涉仪测向方法。信号点长短基线法能充分利用相位差信息,为干涉仪测向提供了一种新的方法。
[Abstract]:In the modern complex battlefield environment, electronic warfare requires the reconnaissance system to obtain the emitter parameter information and position information of the enemy on the premise of concealment security. The passive detection system can well meet this demand, and the operating range is longer than the active detection. Because of its high accuracy and simple algorithm, interferometer is an important method of direction finding in passive detection system and has been widely used in modern military technology. By measuring the phase difference of the signals between baselines, the direction finding method of interferometer is used to find the azimuth. The received emitter signals are accompanied by various environmental noises, especially when the signal-to-noise ratio is small, the measurement error of incoming wave azimuth will be very large. In view of the above problems, the frequency domain analysis interferometer direction finding method is studied in this paper. The fuzzy phase is obtained by the frequency domain analysis of the signals received from each directional finding baseline, and the ambiguity is solved by the method of long and short baselines, and the phase angle is solved by the least square method. Firstly, the basic principle of interferometer direction finding is studied in this paper, and the method of one and two dimensional linear array interferometer is given. The simulation results show that the precision of this method is high when the signal-to-noise ratio is high. However, the measurement error will increase with the decrease of SNR. Then four key techniques to solve the phase are analyzed, and the time domain phase detection and frequency domain phase detection in digital phase detection are simulated and compared under different signal-to-noise ratio (SNR) conditions. The long and short baseline method and the statistical phase variance method are compared with each other. The results show that the measurement accuracy of phase difference in frequency domain is better than that in time domain in the condition of low signal-to-noise ratio (SNR), and the accuracy of the two methods is the same, but the efficiency of the long and short baseline method is better than that of the statistical phase variance method. Finally, the frequency domain analysis interferometer direction finding method is studied, and compared with one dimensional linear array interferometer time domain analysis method under different SNR conditions. The results show that the frequency domain analysis method is better than the time domain analysis method in adapting to the change of SNR. At the same time, another interferometer direction finding method, the signal point length baseline method, is studied and compared with one dimensional linear array interferometer time domain analysis method under different signal-to-noise ratio (SNR) conditions. The results show that the ability of time domain analysis is better than that of the method of signal point length baseline at low signal-to-noise ratio (SNR). Frequency domain analysis is a practical method for direction finding because of its high accuracy and less influence on the signal to noise ratio (SNR). The method of signal point length baseline can make full use of phase difference information and provides a new method for interferometer direction finding.
【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】：2015
【分类号】：TH744.3
本文编号：2181477
[Abstract]:In the modern complex battlefield environment, electronic warfare requires the reconnaissance system to obtain the emitter parameter information and position information of the enemy on the premise of concealment security. The passive detection system can well meet this demand, and the operating range is longer than the active detection. Because of its high accuracy and simple algorithm, interferometer is an important method of direction finding in passive detection system and has been widely used in modern military technology. By measuring the phase difference of the signals between baselines, the direction finding method of interferometer is used to find the azimuth. The received emitter signals are accompanied by various environmental noises, especially when the signal-to-noise ratio is small, the measurement error of incoming wave azimuth will be very large. In view of the above problems, the frequency domain analysis interferometer direction finding method is studied in this paper. The fuzzy phase is obtained by the frequency domain analysis of the signals received from each directional finding baseline, and the ambiguity is solved by the method of long and short baselines, and the phase angle is solved by the least square method. Firstly, the basic principle of interferometer direction finding is studied in this paper, and the method of one and two dimensional linear array interferometer is given. The simulation results show that the precision of this method is high when the signal-to-noise ratio is high. However, the measurement error will increase with the decrease of SNR. Then four key techniques to solve the phase are analyzed, and the time domain phase detection and frequency domain phase detection in digital phase detection are simulated and compared under different signal-to-noise ratio (SNR) conditions. The long and short baseline method and the statistical phase variance method are compared with each other. The results show that the measurement accuracy of phase difference in frequency domain is better than that in time domain in the condition of low signal-to-noise ratio (SNR), and the accuracy of the two methods is the same, but the efficiency of the long and short baseline method is better than that of the statistical phase variance method. Finally, the frequency domain analysis interferometer direction finding method is studied, and compared with one dimensional linear array interferometer time domain analysis method under different SNR conditions. The results show that the frequency domain analysis method is better than the time domain analysis method in adapting to the change of SNR. At the same time, another interferometer direction finding method, the signal point length baseline method, is studied and compared with one dimensional linear array interferometer time domain analysis method under different signal-to-noise ratio (SNR) conditions. The results show that the ability of time domain analysis is better than that of the method of signal point length baseline at low signal-to-noise ratio (SNR). Frequency domain analysis is a practical method for direction finding because of its high accuracy and less influence on the signal to noise ratio (SNR). The method of signal point length baseline can make full use of phase difference information and provides a new method for interferometer direction finding.
【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】：2015
【分类号】：TH744.3
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