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基于羅蘭C系統(tǒng)的無(wú)源探測(cè)可行性研究

發(fā)布時(shí)間:2018-02-21 14:29

  本文關(guān)鍵詞: 羅蘭C系統(tǒng) 無(wú)源探測(cè) 匹配濾波 實(shí)測(cè)數(shù)據(jù) GUI軟件 出處:《西安電子科技大學(xué)》2014年碩士論文 論文類(lèi)型:學(xué)位論文


【摘要】:本文圍繞了利用羅蘭C系統(tǒng)進(jìn)行無(wú)源探測(cè)的可行性展開(kāi)了課題的相關(guān)研究工作,主要目的是為了驗(yàn)證羅蘭C系統(tǒng)是否能夠進(jìn)行無(wú)源探測(cè),并基于此目的分別對(duì)羅蘭C系統(tǒng)在理論上和實(shí)際上的無(wú)源探測(cè)可行性做了一定的探究。本文所做的具體工作如下:1.介紹了羅蘭C系統(tǒng)的雙曲線定位原理、發(fā)射信號(hào)、羅蘭C臺(tái)鏈的構(gòu)成原則以及詳細(xì)的闡述了各個(gè)臺(tái)鏈奇偶周期的脈沖編碼及作用。并分析了羅蘭C系統(tǒng)工作時(shí)遇到的干擾信號(hào)類(lèi)型,總結(jié)了抑制這些干擾的方法和這些抑制方法的優(yōu)缺點(diǎn)。最后介紹了羅蘭C系統(tǒng)在周期識(shí)別時(shí)亟待需要解決的天地波時(shí)延估計(jì)的問(wèn)題,通過(guò)對(duì)天地波時(shí)延估計(jì)的重要性介紹,進(jìn)而引入了求解天地波時(shí)延的一些算法,并總結(jié)了算法的特點(diǎn)。2.從無(wú)源探測(cè)系統(tǒng)的理論要求出發(fā),進(jìn)行了大量的定量理論分析和仿真實(shí)驗(yàn),主要從羅蘭C信號(hào)的匹配濾波系數(shù)的選擇、羅蘭C信號(hào)的距離和速度的分辨率、羅蘭C信號(hào)的相位一致性等方面做了相關(guān)工作。通過(guò)仿真得知,仿真產(chǎn)生的匹配濾波系數(shù)與實(shí)際發(fā)射信號(hào)作為匹配濾波系數(shù)差別較大,雖然發(fā)射信號(hào)有拖尾現(xiàn)象,但是在匹配濾波時(shí),還是要根據(jù)實(shí)際情況將從發(fā)射站耦合的信號(hào)作為匹配濾波系數(shù),這樣才能保證濾波時(shí)不會(huì)處于失配狀態(tài)。羅蘭C信號(hào)的距離分辨率很差,此時(shí)考慮借助多普勒信息上區(qū)分目標(biāo),即從距離和多普勒兩維聯(lián)合的角度進(jìn)行目標(biāo)的探測(cè)。要利用羅蘭C信號(hào)多普勒特性進(jìn)行目標(biāo)的探測(cè),需要較長(zhǎng)時(shí)間相干積累,這就要考慮羅蘭C信號(hào)長(zhǎng)時(shí)間相干積累的距離走動(dòng)問(wèn)題。崇左臺(tái)發(fā)射信號(hào)和蒲城發(fā)射信號(hào)的相位一致性較好,但通過(guò)各自發(fā)射信號(hào)的對(duì)比可以看出,崇左臺(tái)發(fā)射信號(hào)的相位一致性比蒲城發(fā)射信號(hào)好,再通過(guò)與理論仿真信號(hào)對(duì)比時(shí)發(fā)現(xiàn),崇左臺(tái)發(fā)射信號(hào)的尾部保相特性沒(méi)有蒲城臺(tái)發(fā)射信號(hào)保相特性好。3.展開(kāi)了利用了羅蘭C信號(hào)對(duì)海面上目標(biāo)的探測(cè)的可行性實(shí)驗(yàn),采集實(shí)測(cè)數(shù)據(jù),并分析和處理了實(shí)測(cè)數(shù)據(jù),針對(duì)實(shí)測(cè)數(shù)據(jù)處理中的若干問(wèn)題,研究了相應(yīng)的解決方案。如采集回波信號(hào)包絡(luò)和相位走動(dòng),通過(guò)分析判斷得出問(wèn)題的原因是采樣時(shí)鐘信號(hào)與發(fā)射信號(hào)時(shí)鐘不同步,存在偏差從而導(dǎo)致包絡(luò)和相位走動(dòng)。采用了對(duì)回波信號(hào)譜分析的方法,求出頻率偏差。進(jìn)而將包絡(luò)和相位的走動(dòng)補(bǔ)償。利用直達(dá)波直接置零的方法處理了實(shí)測(cè)數(shù)據(jù),處理的結(jié)果雜亂且不能關(guān)聯(lián)。后來(lái)又利用了羅蘭C系統(tǒng)的奇偶脈沖組的相位編碼是互補(bǔ)碼特性,對(duì)實(shí)測(cè)數(shù)據(jù)進(jìn)行了脈沖組匹配濾波的處理,處理的結(jié)果同樣不能令人滿意。最后,為了便于直觀、有效和快速的處理和分析羅蘭C實(shí)測(cè)數(shù)據(jù),設(shè)計(jì)和開(kāi)發(fā)了一款基于MATLAB GUI技術(shù)的羅蘭C系統(tǒng)無(wú)源探測(cè)實(shí)測(cè)數(shù)據(jù)處理軟件,該軟件主要利用前面介紹的信號(hào)處理方法進(jìn)行信號(hào)處理,通過(guò)實(shí)際的使用、測(cè)試和驗(yàn)證,該軟件都能夠穩(wěn)定、有效、快速的完成實(shí)測(cè)數(shù)據(jù)處理的任務(wù)。
[Abstract]:This paper focuses on the feasibility of passive detection using Loran C system. The main purpose of this paper is to verify whether the Loran C system can be used for passive detection. Based on this purpose, the feasibility of passive detection of Loran C system in theory and in practice is explored. The specific work of this paper is as follows: 1. The hyperbolic positioning principle of Roland C system and the transmitting signal are introduced. The composing principle of Loran C chain and the pulse coding and function of the odd and even periods of each station chain are described in detail. The types of interference signals encountered in the operation of Loran C system are analyzed. In this paper, the methods to suppress these disturbances and their advantages and disadvantages are summarized. Finally, the problems of time delay estimation of ground and earth waves which need to be solved urgently in Loran-C system are introduced, and the importance of time delay estimation of space and earth waves is introduced. Furthermore, some algorithms to solve the time-delay of space-time wave are introduced, and the characteristics of the algorithm are summarized. 2. According to the theoretical requirements of passive detection system, a large number of quantitative theoretical analysis and simulation experiments are carried out. This paper mainly deals with the selection of matching filtering coefficient of Loran-C signal, the resolution of range and velocity of Loran-C signal, the phase consistency of Loran-C signal, and so on. The simulation results show that the matching filter coefficient is different from the actual transmitted signal as the matching filter coefficient. Although the transmitted signal has the phenomenon of trailing, but in the case of matched filtering, According to the actual situation, the signal coupled from the transmitting station should be taken as the matched filter coefficient, so as to ensure that the filter will not be mismatched. The range resolution of the Loran C signal is very poor. That is to say, target detection is carried out from the angle of the combination of range and Doppler. In order to use the Doppler characteristic of Loran C signal to detect the target, it takes a long time coherent accumulation to detect the target. It is necessary to consider the problem of long time coherent accumulation of Loran-C signal. The phase consistency between Chongzuo station's transmitting signal and Pucheng's is good, but it can be seen from the comparison of their respective transmitting signals. The phase consistency of the emission signal of Chongzuo station is better than that of Pucheng, and when compared with the theoretical simulation signal, it is found that, The tail phase preserving characteristic of the emission signal of Chongzuo station is not as good as that of Pucheng station. 3. The feasibility experiment of detecting the target on the sea surface by using the Loran C signal is carried out, and the measured data are collected, and the measured data are analyzed and processed. In view of some problems in the processing of the measured data, the corresponding solutions are studied, such as the envelope and phase walk of the collected echo signal, and the reason of the problem is that the sampling clock signal and the transmitting signal clock are out of sync. The error leads to envelope and phase walk. The frequency deviation is calculated by analyzing the echo signal spectrum, and then the envelope and phase walk are compensated. The method of direct zero setting is used to deal with the measured data. The results of processing are chaotic and can not be correlated. The phase coding of even and odd pulse group of Roland C system is used as complementary code, and the real data is processed by pulse group matched filtering. Finally, in order to process and analyze the measured data of Roland C directly, effectively and quickly, a passive detection data processing software of Loran-C system based on MATLAB GUI technology is designed and developed. The software mainly uses the signal processing method introduced before to process the signal. Through practical use, testing and verification, the software can be stable, effective and fast to complete the task of data processing.
【學(xué)位授予單位】:西安電子科技大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2014
【分類(lèi)號(hào)】:TN96

【參考文獻(xiàn)】

相關(guān)期刊論文 前1條

1 陸萬(wàn)宏;薛磊;劉小秋;;羅蘭C接收機(jī)抗載波干擾分析[J];艦船電子工程;2006年05期



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