發(fā)布時間：2018-01-09 01:07

  本文關(guān)鍵詞：高動態(tài)GNSS接收系統(tǒng)壓制性干擾抑制技術(shù)研究　出處：《武漢大學》2016年博士論文　論文類型：學位論文

  更多相關(guān)文章： 陣列信號處理 稀疏性 高動態(tài) GNSS接收機 壓制性干擾

【摘要】：GPS為代表的GNSS在取得廣泛應用的同時,也暴露出嚴重的系統(tǒng)脆弱性問題：系統(tǒng)的抗干擾能力差。特別是高動態(tài)接收系統(tǒng),其所處的電磁環(huán)境復雜,靜態(tài)和低動態(tài)的干擾抑制技術(shù)不能直接套用,提高高動態(tài)接收機自身的干擾抑制能力及其可靠性是近年來的研究熱點。本文圍繞高動態(tài)環(huán)境下如何抑制壓制性干擾展開理論研究。主要研究工作歸納如下：第一、建立多重信號分類及功率倒置聯(lián)合抗干擾模型(MUSIC-PI)。傳統(tǒng)的功率倒置算法(PI)無法區(qū)分干擾和信號,對期望信號有較大損失,MUSIC-PI算法將多重信號分類(MUSIC)的基本原理應用于實際導向矢量的估計,利用正交空間能量最小化原理輔助零陷形成。本模型可估計出最優(yōu)權(quán)值,有效地抑制壓制性干擾的同時減少對衛(wèi)星信號的損傷。當輸入信噪比降到為20dB以下時,最小均方誤差算法(LMS)和PI算法失效,而MUSIC-PI算法能準確產(chǎn)生零陷,抑制深度達到-120dB,且穩(wěn)健性提高明顯。第二、研究高動態(tài)干擾時變問題,提出基于隱馬爾可夫(HMM)和多星約束最小功率(Multi-PI)級聯(lián)干擾抑制模型,即HMM-Multi-PI模型。HMM-Multi-PI模型的第一級是HMM算法；第二級是一種從功率倒置引導至多星約束最小的引導算法(PIMulti-PI),這是一種引導模型,其先用PI算法進行初級干擾抑制,再用Multi-PI算法來提升干擾抑制性能。捕星效果從好到差的順序是：HMM-Multi-PI算法、Multi-PI算法、HMM算法和PI算法；實驗結(jié)果表明：HMM-Multi-PI算法對抑制時變干擾、窄帶寬帶混合干擾是有優(yōu)勢的。第三、研究高動態(tài)干擾源波達方向(DOA)估計問題,提出一種基于DOA的凸優(yōu)化約束模型(CCOB),能有效改善錯配下的DOA性能,提升了系統(tǒng)的魯棒性。針對衛(wèi)星信號較弱,無法通過波束形成來確定DOA的特點,提出無主瓣零陷模型(NMLC),其只需估計壓制干擾的DOA。并在此基礎(chǔ)上,在DOA周邊增加虛擬零陷,同時將剩余的空間作功率最大化處理,此算法稱為無主瓣零陷展寬模型(NMLCB)。抑制深度從高到低的順序是：NMLCB算法、導數(shù)約束算法(DN)和PI算法；零陷寬度從寬到窄的順序是：NMLCB算法、DN算法和PI算法。實驗結(jié)果表明：NMLCB算法對解決NSS接收機的高動態(tài)DOA失配問題是有效的。第四、研究高動態(tài)干擾源的欠采樣問題,建立采樣信號的凸優(yōu)化重建模型(CCOB-CS)。本模型先對采樣的信號進行CCOB處理,增強DOA的魯棒性,再運用正交匹配追蹤法(OMP)進行信號重建。實驗結(jié)果表明：利用壓縮感知理論,將稀疏重建原理應用于高動態(tài)抗干擾陣列處理領(lǐng)域可解決采樣中遇到的少快拍問題。相對于傳統(tǒng)抗干擾模型,信干噪比(SINR)提升明顯。第五、研究欠采樣DOA估計問題,建立l0范數(shù)的連續(xù)壓縮感知的DOA估計框架(ZNM),這是一種無網(wǎng)格模型,突破了信號子空間模型的原有框架,適用于少快拍DOA估計問題。相對于經(jīng)典的空間譜分析算法,如MUSIC算法、求根多重信號分類算法(root-MUSIC)、最小二乘旋轉(zhuǎn)不變子空間算法(TLS-ESPRIT)、Toeplitz近似算法(TAM)。它們之間的誤差關(guān)系從大到小的順序是：TLS-ESPRIT算法、TAM算法、MUSIC算法、root-MUSIC算法和ZNM算法。實驗結(jié)果表明：ZNM的誤差最小,零延遲下碼捕獲實驗驗證了更高的DOA估計準確性,其有利于提升干擾抑制效果。第六、研制一套FPGA+DSP軟硬一體的陣列GPS抗干擾系統(tǒng),其主要模塊有：干擾源、八路射頻前端、基于FPGA+DSP的基帶板。通過三個實驗分別評測了干擾類型、采樣頻率和干擾源DOA三個參數(shù)變化對GPS接收機及干擾抑制效果的影響。綜上所述,本文對高動態(tài)GPS接收機的干擾抑制問題開展了深入研究,提出了應對干擾時變性、干擾DOA隨機性和欠采樣性的相應理論解決方案,并開展了GPS抗干擾原型機的研制工作,驗證了設(shè)備的可用性。本文提出的理論和實驗結(jié)果對高動態(tài)干擾抑制領(lǐng)域的下一步研究工作奠定了基礎(chǔ)。
[Abstract]:GPS as the representative of the GNSS in a broad application at the same time, also exposed the serious vulnerability problem: the anti-interference ability of the system is poor. Especially the high dynamic receiver system, the electromagnetic environment of the complex, static and dynamic low interference suppression technology can not be directly applied to the interference, improve its high dynamic receiver suppression ability and reliability is the research hotspot in recent years. This paper focuses on the high dynamic environment how to suppress the oppressive jamming theory research. The main work is as follows: first, the establishment of multiple signal classification and power inversion combined with anti interference model (MUSIC-PI). The traditional power inversion algorithm (PI) can not distinguish between interference and signal, have great loss to the desired signal, the MUSIC-PI algorithm to multiple signal classification (MUSIC) estimation principle is applied to the actual steering vector, using the principle of orthogonal spatial energy minimization Auxiliary nulling. This model can estimate the optimal weights, and effectively suppress the oppressive jamming of satellite signals to reduce damage. When the input signal-to-noise ratio is below 20dB to drop, the minimum mean square error algorithm (LMS) failure and PI algorithm, and MUSIC-PI algorithm can accurately generate null suppression depth to -120dB, and the robustness is improved significantly. Second. Research on variable high dynamic interference is proposed based on Hidden Markov model (HMM) and multiple constrained minimum power (Multi-PI) interference suppression cascade model, HMM-Multi-PI model,.HMM-Multi-PI model is the first stage of HMM algorithm; the second grade is a guide to the star from the power inversion constrained minimum to guide the algorithm (PIMulti-PI), which is a leading model, first using PI algorithm for primary interference suppression, and then Multi-PI algorithm to improve the performance of interference suppression. A star effect from good to bad order is: HMM-M Ulti-PI algorithm, Multi-PI algorithm, HMM algorithm and PI algorithm; the experimental results show that the HMM-Multi-PI algorithm of interference suppression, narrowband broadband hybrid interference is advantage. Third, research on high dynamic interference source direction of arrival (DOA) estimation problem, propose a convex optimization model based on DOA (CCOB), can effectively to improve the performance of DOA mismatch, enhance the robustness of the system. According to the satellite signal is weak, to determine the characteristics of DOA cannot be formed through the beam, the main lobe null model (NMLC), the only need to estimate the suppression of interference and DOA. on the basis of this, around DOA to increase the virtual null at the same time. The remaining space for maximum power processing, the algorithm called the mainlobe null broadening model (NMLCB). The depth of inhibition from high to low order is: NMLCB algorithm, derivative constraints (DN) algorithm and PI algorithm; null width from broad to narrow the order is: NMLC B algorithm, DN algorithm and PI algorithm. The experimental results show that the NMLCB algorithm for high dynamic DOA receiver NSS to solve the mismatch problem is effective. Fourth, the undersampling problem of high dynamic interference source, the convex optimization reconstruction model of sampling signal (CCOB-CS). The model of sampling signal processing CCOB and enhance the robustness of DOA, and then using the orthogonal matching pursuit method (OMP) for signal reconstruction. The experimental results show that the use of compressed sensing theory, the sparse reconstruction principle is applied to the high dynamic interference array processing can solve the problems encountered in small snapshot sampling. Compared with the traditional model of anti-jamming, SINR (SINR) improved significantly. Fifth, research on undersampling DOA estimation problem, establish the l0 Norm Continuous compressed sensing DOA estimation framework (ZNM), which is a meshless model, a framework of breakthrough original signal subspace model, suitable for small fast The problem took DOA estimation. Compared with the classical spatial spectrum analysis algorithms such as MUSIC algorithm, rootmusic algorithm (root-MUSIC), least squares rotation invariant subspace algorithm (TLS-ESPRIT), Toeplitz (TAM) approximation algorithm. The error of the relationship between them in order from big to small is: TLS-ESPRIT algorithm, TAM algorithm, MUSIC algorithm, root-MUSIC algorithm and ZNM algorithm. The experimental results show that the ZNM minimum error, zero delay capture experiment code verification in higher DOA estimation accuracy, it is conducive to improving the interference suppression effect. Sixth, the anti-jamming array GPS has developed a set of FPGA+DSP software and hardware integration, the main modules are: interference source, eight road RF, baseband board based on FPGA+DSP. Through three experimental types of interference evaluation respectively, effects of sampling frequency and interference source DOA change three parameters of inhibitory effects on GPS receiver and interference at all. In this paper the interference of high dynamic GPS receiver suppression problem to carry out in-depth research, put forward the corresponding interference interference DOA degeneration, randomness and less sampling of corresponding theoretical solutions, and developed the GPS anti-jamming prototype, verify the availability of the equipment. This paper presents theoretical and experimental results for the next step of the research work based interference suppression in the field of high dynamic.

【學位授予單位】：武漢大學
【學位級別】：博士
【學位授予年份】：2016
【分類號】：TN965.5

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