本文選題：陣列信號(hào)處理 + 空時(shí)自適應(yīng)處理��； 參考：《電子科技大學(xué)》2017年碩士論文

【摘要】：近年來(lái),衛(wèi)星導(dǎo)航系統(tǒng)在民用和軍事領(lǐng)域方面的重要性與日俱增,但衛(wèi)星信號(hào)弱,易受到來(lái)自各方面干擾的問(wèn)題也更加明顯,其中尤以人為的壓制式干擾和欺騙式干擾更為突出,因此,研究行之有效的衛(wèi)星信號(hào)抗干擾技術(shù)迫在眉睫,提升導(dǎo)航信號(hào)接收機(jī)的抗干擾能力有著重大的意義。課題研究了導(dǎo)航信號(hào)接收中面臨的寬帶干擾以及窄帶干擾,分析了當(dāng)前主流的抗干擾技術(shù),從空域自適應(yīng)干擾和時(shí)域自適應(yīng)干擾入手,對(duì)比研究了空時(shí)自適應(yīng)抗干擾算法。相比于單純的空域或者時(shí)域的干擾抑制效果差、目標(biāo)過(guò)于局限,空時(shí)自適應(yīng)抗干擾算法彌補(bǔ)了空域自適應(yīng)抗干擾算法存在的空間自由度不足的問(wèn)題,以及時(shí)域自適應(yīng)抗干擾算法對(duì)寬帶干擾抑制能力差的問(wèn)題。課題研究從以下幾個(gè)方面展開(kāi):首先,圍繞GPS導(dǎo)航衛(wèi)星系統(tǒng)、北斗導(dǎo)航衛(wèi)星系統(tǒng)、GLONASS導(dǎo)航衛(wèi)星系統(tǒng)和Galileo導(dǎo)航衛(wèi)星系統(tǒng)介紹了衛(wèi)星信號(hào)發(fā)射接收以及定位的基本原理,分析了導(dǎo)航信號(hào)的組成結(jié)構(gòu)并做一說(shuō)明,對(duì)本文提出的引入?yún)f(xié)同參考信號(hào)的原理和過(guò)程進(jìn)行分析說(shuō)明,分別針對(duì)空域和時(shí)域的干擾抑制算法進(jìn)行模型的搭建,并在此基礎(chǔ)上對(duì)空域和時(shí)域的自適應(yīng)干擾抑制算法的過(guò)程進(jìn)行說(shuō)明和推演,同時(shí),搭建引入?yún)f(xié)同參考信號(hào)進(jìn)行干擾抑制的模型,分別針對(duì)空域和時(shí)域的典型干擾抑制算法進(jìn)行引入?yún)f(xié)同參考信號(hào)后的算法進(jìn)行說(shuō)明,并對(duì)先前的空域和時(shí)域算法以及加入?yún)f(xié)同參考信號(hào)的算法進(jìn)行對(duì)比分析,驗(yàn)證引入?yún)f(xié)同參考信號(hào)的優(yōu)勢(shì)并找出不足,說(shuō)明具體原因。其次,對(duì)空時(shí)自適應(yīng)抗干擾算法的原理、結(jié)構(gòu)模型進(jìn)行研究,確立相關(guān)算法,主要有以下六個(gè),分別是單星約束下的最小輸出功率算法(MinC)、單星無(wú)約束下的最小輸出功率算法(MinU)、協(xié)同采樣矩陣求逆算法(協(xié)同SMI)、多星約束下的最小輸出功率算法(MinMC)、最大信干噪比算法(MSJNR)、主成分算法(PC),驗(yàn)證空時(shí)域自適應(yīng)抗干擾算法比單純的空域或者時(shí)域抗干擾算法有著更優(yōu)越的抗干擾能力,并就MinU、MinC算法同協(xié)同SMI算法進(jìn)行仿真比對(duì),說(shuō)明協(xié)同SMI算法的可行性和優(yōu)勢(shì)所在。本文是以MATLAB為仿真平臺(tái),通過(guò)設(shè)置和實(shí)際情況相近的干擾信號(hào)、期望信號(hào)、參考信號(hào)以及噪聲信號(hào)參數(shù),對(duì)空、時(shí)域以及空時(shí)自適應(yīng)濾波處理的各類(lèi)算法進(jìn)行分析,性能分析主要是通過(guò)輸入和輸出的信干噪比(SJNR)這個(gè)指標(biāo)來(lái)進(jìn)行評(píng)估,針對(duì)現(xiàn)在電磁場(chǎng)空間尤其是軍用導(dǎo)航設(shè)備中面臨的強(qiáng)干擾的復(fù)雜電磁環(huán)境,創(chuàng)新性的提出了引入其他接收機(jī)信號(hào)作為參考信號(hào),達(dá)到了實(shí)現(xiàn)技術(shù)簡(jiǎn)單、效果優(yōu)勢(shì)明顯的目的,為未來(lái)實(shí)現(xiàn)地面接收信號(hào)組網(wǎng),信號(hào)資源共享,共同抑制干擾的目標(biāo)打下基礎(chǔ)。
[Abstract]:The importance of satellite navigation systems in the civilian and military fields has increased in recent years, but the problem of weak satellite signals and vulnerability to interference from all sources has become even more evident, Especially the artificial suppression jamming and deceptive jamming are more prominent. Therefore, it is urgent to study the effective anti-jamming technology of satellite signal, and it is of great significance to improve the anti-jamming ability of navigation signal receiver. In this paper, the wideband interference and narrowband interference in the navigation signal reception are studied, and the main anti-jamming techniques are analyzed. The space-time adaptive anti-jamming algorithm is compared with the space-time adaptive interference based on the spatial adaptive interference and the time-domain adaptive interference. Compared with the pure interference suppression effect in spatial domain or time domain, the target is too limited. Space-time adaptive anti-jamming algorithm makes up for the lack of spatial degree of freedom in spatial adaptive anti-jamming algorithm. And the time domain adaptive anti-jamming algorithm has poor ability to suppress wideband interference. The research is carried out from the following aspects: firstly, the basic principles of satellite signal transmitting and receiving and positioning are introduced around GPS navigation satellite system, Beidou navigation satellite system, GLONASS navigation satellite system and Galileo navigation satellite system. The structure of navigation signal is analyzed and explained. The principle and process of introducing cooperative reference signal in this paper are analyzed. The model of interference suppression algorithm in spatial domain and time domain is built, respectively. On this basis, the process of adaptive interference suppression algorithm in spatial domain and time domain is explained and deduced. At the same time, a model of interference suppression based on cooperative reference signal is built. After introducing the cooperative reference signal to the typical interference suppression algorithms in the spatial domain and the time domain, the previous algorithms in the spatial domain and the time domain and the algorithms that add the cooperative reference signals are compared and analyzed. Verify the advantages of introducing cooperative reference signals and find out the shortcomings, explain the specific reasons. Secondly, the principle and structure model of space-time adaptive anti-jamming algorithm are studied, and the related algorithms are established. The minimum output power algorithm under single star constraint is MinCn, the minimum output power algorithm under single star constraint is Minu, the cooperative sampling matrix inverse algorithm (cooperative Smil, minimum output power algorithm under multi-star constraint), and the maximum signal-to-noise ratio algorithm. The principle component algorithm (PCA) is used to verify that the space-time adaptive anti-jamming algorithm has better anti-jamming capability than the simple space-time or time-domain anti-jamming algorithm. The Minu MinC algorithm is compared with the cooperative SMI algorithm, which shows the feasibility and advantage of the cooperative SMI algorithm. In this paper, MATLAB is used as a simulation platform to analyze all kinds of adaptive filtering algorithms in space, time domain and space time by setting interference signal, expected signal, reference signal and noise signal parameters similar to the actual situation. The performance analysis is mainly based on the SJNR-based input and output signal-to-noise ratio (SJNRs), aiming at the complex electromagnetic environment with strong interference in the electromagnetic field space, especially in the military navigation equipment. This paper proposes to introduce other receiver signals as reference signals, which can achieve the goal of simple technology and obvious effect. It can be used to network ground signals and share signal resources in the future. Joint suppression of interference targets lay the foundation.
【學(xué)位授予單位】：電子科技大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類(lèi)號(hào)】：TN967.1

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本文編號(hào)：2019924