本文關(guān)鍵詞：基于CMT的高動態(tài)GPS抗干擾算法研究　出處：《中國民航大學(xué)》2014年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 全球定位系統(tǒng) 高動態(tài) 自適應(yīng)陣列 干擾抑制 協(xié)方差矩陣錐化

【摘要】：隨著全球定位系統(tǒng)(Global Positioning System,簡稱GPS)在軍事和國民經(jīng)濟等領(lǐng)域的廣泛應(yīng)用,GPS信號容易受到干擾的問題顯得日益嚴重。尤其在高動態(tài)環(huán)境下,干擾相對于GPS接收機的來向隨時間變化很快,常規(guī)的自適應(yīng)干擾抑制方法形成的零陷很窄,干擾很容易移出天線波束形成零陷的位置而無法被抑制掉,導(dǎo)致GPS接收機性能明顯下降甚至完全失效。為了保證高動態(tài)環(huán)境下接收機的正常工作,進行高動態(tài)衛(wèi)星導(dǎo)航抗干擾技術(shù)的研究具有重要意義。本項目主要研究了基于協(xié)方差矩陣錐化(covariance matrix taper,CMT)思想的高動態(tài)GPS自適應(yīng)抗干擾方法。首先,研究和分析了Mailloux和Zatman兩種經(jīng)典的CMT加寬零陷方法,通過推導(dǎo)其擴展矩陣,討論了它們在任意陣列模型下的適用性。分析結(jié)果表明,Mailloux方法可適用于任意陣列,但是需要知道干擾的來向信息,而Zatman方法僅適用于線陣。其次,從統(tǒng)計模型和實際接收機運動狀態(tài)的角度出發(fā),分析出高動態(tài)下干擾來向的角度變化更符合Laplace分布模型,從而提出了一種基于Laplace的最小功率加寬零陷抗干擾算法。新方法可以加寬干擾處的零陷寬度,不需要知道衛(wèi)星以及干擾信號的來向信息,適用于任意線陣以及圓陣陣列,并且不會改變協(xié)方差矩陣噪聲項的貢獻,零陷寬度容易控制。最后,本文將Laplace加寬零陷方法推廣到空時二維自適應(yīng)陣列處理中,推導(dǎo)證明了該方法在線陣、圓陣以及任意陣列模型下的適用性。結(jié)果表明,對于空時域線陣和圓陣陣列,擴展矩陣同樣不需要知道干擾的來向信息,同時不會改變噪聲項的貢獻�；谏鲜龇椒ㄟM行仿真實驗和實測數(shù)據(jù)驗證,結(jié)果表明了新方法的有效性和實用性,具有一定的應(yīng)用價值。
[Abstract]:With the wide application of Global Positioning System (GPS) in military and national economy, the problem of GPS signal being easily interfered is becoming more and more serious. Especially in high dynamic environment, interference relative to the GPS receiver to change rapidly over time, the conventional adaptive interference nulling suppression method which is easily removed from the narrow interference nulling beamforming antenna position cannot be suppressed, leading to the GPS receiver performance is obviously decreased or even complete failure. In order to ensure the normal work of the receiver in high dynamic environment, it is of great significance to study the anti-jamming technology of high dynamic satellite navigation. This project mainly studies the high dynamic GPS Adaptive Anti-jamming method based on covariance matrix taper (CMT). First, two classical CMT widening nulling methods, Mailloux and Zatman, are studied and analyzed, and their applicability is discussed based on their extended matrix. The analysis results show that the Mailloux method can be applied to any array, but it needs to know the incoming information of the interference, and the Zatman method is only applicable to the linear array. Secondly, from the perspective of statistical model and actual receiver motion state, it is analyzed that the angle variation of high dynamic interference is more consistent with the Laplace distribution model, and a Laplace based minimum power widening nulling anti-jamming algorithm is proposed. The new method can widen the width of the interference area, do not need to know the information from satellites and interference signals, and apply to any linear array and circular array array, and it will not change the contribution of the noise matrix of the covariance matrix, and the width of the nulling is easy to control. Finally, the Laplace widening null method is extended to space-time adaptive array processing. The derivation proves the applicability of the proposed method in online array, circular array and arbitrary array model. The results show that for the space time linear array and the circular array array, the extended matrix does not need to know the incoming information of the interference, and does not change the contribution of the noise term. The simulation experiment and the measured data are verified based on the above method. The results show that the new method is effective and practical, and has certain application value.
【學(xué)位授予單位】：中國民航大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：P228.4;TN973

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