干涉儀測向系統(tǒng)研究
發(fā)布時間：2018-08-13 16:00
【摘要】：在現(xiàn)代復雜的戰(zhàn)場環(huán)境中,電子戰(zhàn)需要偵察系統(tǒng)在隱蔽安全的前提下得到敵方的輻射源參數(shù)信息和位置信息。無源探測系統(tǒng)可以很好的滿足這一需求,而且作用距離比有源探測遠。干涉儀測向技術(shù)由于測向準確度高、算法簡單,是無源探測系統(tǒng)中很重要的測向技術(shù)方法,并在現(xiàn)代軍事技術(shù)中得到了廣泛的應用。干涉儀測向方法通過測量各基線間信號的相位差來求方位角。接收的輻射源信號都伴隨著各種環(huán)境噪聲,特別在信噪比較小時,來波方位角的測量誤差會很大。針對以上問題,本文研究了頻域分析干涉儀測向法。對每一路測向基線接收的信號進行頻域分析求得有模糊相位,用長短基線法解模糊,通過最小二乘法求解相位角。首先本文研究了干涉儀測向的基本原理,給出了一維和二維線陣干涉儀測向方法,通過仿真分析表明當信噪比較高時,該方法的測量精度很高。但是測量誤差會隨著信噪比降低而增大。然后分析了求解相位的四大關(guān)鍵技術(shù),并在不同信噪比條件下,對數(shù)字鑒相技術(shù)中的時域鑒相和頻域鑒相進行仿真對比,以及對解模糊算法中的長短基線法和統(tǒng)計相位方差法進行仿真對比。結(jié)果表明數(shù)字鑒相技術(shù)中,頻域鑒相在低信噪比條件下相位差測量精度優(yōu)于時域鑒相;解模糊算法中,兩方法的測量精度一致,但長短基線法的測量效率優(yōu)于統(tǒng)計相位方差法。最后研究了頻域分析干涉儀測向方法,并與一維線陣干涉儀時域分析法在不同信噪比條件下進行仿真對比。結(jié)果表明頻域分析法適應信噪比改變的能力比時域分析法強。同時也研究了另一種干涉儀測向方法,即信號點長短基線法,與一維線陣干涉儀時域分析法在不同信噪比條件下進行仿真對比。結(jié)果表明時域分析法在低信噪比條件下測向的能力比信號點長短基線法強。頻域分析法測量精度高,受信噪比變化的影響較小,是一種很實用的干涉儀測向方法。信號點長短基線法能充分利用相位差信息,為干涉儀測向提供了一種新的方法。
[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.
【學位授予單位】：西安電子科技大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：TH744.3
本文編號：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.
【學位授予單位】：西安電子科技大學
【學位級別】：碩士
【學位授予年份】：2015
【分類號】：TH744.3
【參考文獻】
相關(guān)期刊論文 前10條
1 任鵬;李建軍;周彬;王建水;;多基線干涉儀解模糊算法[J];電子信息對抗技術(shù);2015年03期
2 邵文建;趙玉;;俯仰角對一維干涉儀測向精度的影響[J];艦船電子對抗;2012年05期
3 羅賢欣;劉光斌;王忠;;干涉儀測向技術(shù)研究[J];艦船電子工程;2012年08期
4 毛虎;楊建波;邱宏坤;;機載二維干涉儀測向誤差分析[J];火力與指揮控制;2011年12期
5 胡宗愷;饒志宏;;高精度數(shù)字鑒相技術(shù)的FPGA實現(xiàn)[J];通信技術(shù);2010年12期
6 毛虎;楊建波;劉鵬;;干涉儀測向技術(shù)現(xiàn)狀與發(fā)展研究[J];電子信息對抗技術(shù);2010年06期
7 田德民;;影響干涉儀測向接收機測向精度的因素分析[J];艦船電子對抗;2010年02期
8 張智鋒;喬強;;低信噪比下相關(guān)干涉儀測向處理方法[J];艦船電子對抗;2009年06期
9 司偉建;初萍;孫圣和;;超寬頻帶測向解模糊方法研究[J];彈箭與制導學報;2009年02期
10 李鴻;吳嗣亮;逄妍立;;雷達電子戰(zhàn)仿真中基于HLA面向?qū)ο蠼７椒ㄑ芯縖J];艦船科學技術(shù);2008年06期
相關(guān)碩士學位論文 前9條
1 呂晨陽;數(shù)字干涉儀測向方法應用研究[D];中國艦船研究院;2014年
2 石志敏;基于協(xié)同突防的雷達干擾資源分配研究[D];西安電子科技大學;2014年
3 秦雁群;用于交會對接微波雷達的干涉儀測向跟蹤算法[D];西安電子科技大學;2013年
4 蔣攀;基于DBF的寬帶輻射源測向技術(shù)研究[D];西安電子科技大學;2013年
5 黃琪;干涉儀技術(shù)與寬帶測向系統(tǒng)研究[D];電子科技大學;2010年
6 潘琳;干涉儀測向與相位差變化率定位技術(shù)[D];西安電子科技大學;2009年
7 高建美;時頻干涉儀測向算法研究[D];哈爾濱工業(yè)大學;2007年
8 劉宗敏;數(shù)字測向和單站無源定位理論研究[D];南京航空航天大學;2007年
9 曾志偉;雷達情報偵察系統(tǒng)信號分析和識別[D];西安電子科技大學;2006年
，本文編號：2181477
本文鏈接：http://sikaile.net/kejilunwen/yiqiyibiao/2181477.html
