本文選題：陣列信號處理 + 空時自適應處理�。� 參考：《電子科技大學》2017年碩士論文

【摘要】：近年來,衛(wèi)星導航系統(tǒng)在民用和軍事領域方面的重要性與日俱增,但衛(wèi)星信號弱,易受到來自各方面干擾的問題也更加明顯,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)星信號抗干擾技術迫在眉睫,提升導航信號接收機的抗干擾能力有著重大的意義。課題研究了導航信號接收中面臨的寬帶干擾以及窄帶干擾,分析了當前主流的抗干擾技術,從空域自適應干擾和時域自適應干擾入手,對比研究了空時自適應抗干擾算法。相比于單純的空域或者時域的干擾抑制效果差、目標過于局限,空時自適應抗干擾算法彌補了空域自適應抗干擾算法存在的空間自由度不足的問題,以及時域自適應抗干擾算法對寬帶干擾抑制能力差的問題。課題研究從以下幾個方面展開:首先,圍繞GPS導航衛(wèi)星系統(tǒng)、北斗導航衛(wèi)星系統(tǒng)、GLONASS導航衛(wèi)星系統(tǒng)和Galileo導航衛(wèi)星系統(tǒng)介紹了衛(wèi)星信號發(fā)射接收以及定位的基本原理,分析了導航信號的組成結構并做一說明,對本文提出的引入協(xié)同參考信號的原理和過程進行分析說明,分別針對空域和時域的干擾抑制算法進行模型的搭建,并在此基礎上對空域和時域的自適應干擾抑制算法的過程進行說明和推演,同時,搭建引入協(xié)同參考信號進行干擾抑制的模型,分別針對空域和時域的典型干擾抑制算法進行引入協(xié)同參考信號后的算法進行說明,并對先前的空域和時域算法以及加入協(xié)同參考信號的算法進行對比分析,驗證引入協(xié)同參考信號的優(yōu)勢并找出不足,說明具體原因。其次,對空時自適應抗干擾算法的原理、結構模型進行研究,確立相關算法,主要有以下六個,分別是單星約束下的最小輸出功率算法(MinC)、單星無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),驗證空時域自適應抗干擾算法比單純的空域或者時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算法進行仿真比對,說明協(xié)同SMI算法的可行性和優(yōu)勢所在。本文是以MATLAB為仿真平臺,通過設置和實際情況相近的干擾信號、期望信號、參考信號以及噪聲信號參數,對空、時域以及空時自適應濾波處理的各類算法進行分析,性能分析主要是通過輸入和輸出的信干噪比(SJNR)這個指標來進行評估,針對現(xiàn)在電磁場空間尤其是軍用導航設備中面臨的強干擾的復雜電磁環(huán)境,創(chuàng)新性的提出了引入其他接收機信號作為參考信號,達到了實現(xiàn)技術簡單、效果優(yōu)勢明顯的目的,為未來實現(xiàn)地面接收信號組網,信號資源共享,共同抑制干擾的目標打下基礎。
[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.
【學位授予單位】：電子科技大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TN967.1

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本文編號：2019924