【摘要】：新型二進(jìn)制偏移載波(Binary Offset Carrier, BOC)調(diào)制方式應(yīng)用于衛(wèi)星導(dǎo)航系統(tǒng)信號的調(diào)制,很好地解決了有限頻帶資源條件下,北斗、伽利略、GPS等衛(wèi)星導(dǎo)航系統(tǒng)的共存問題,也提高了導(dǎo)航接收機(jī)的導(dǎo)航精度,增強(qiáng)了導(dǎo)航信號抗多徑等影響的能力。然而,由于BOC調(diào)制信號自相關(guān)函數(shù)具有多個峰值會引起模糊性問題,需要新的捕獲跟蹤算法予以解決；同時,基于多系統(tǒng)的多模衛(wèi)星導(dǎo)航接收機(jī)的發(fā)展也對BOC調(diào)制信號捕獲跟蹤算法的可適應(yīng)性和可擴(kuò)展性提出了新的要求。因此,本文圍繞解決BOC調(diào)制信號的模糊性問題和提高BOC信號捕獲跟蹤算法的可適應(yīng)性進(jìn)行了細(xì)致的研究,主要包含如下工作。 針對BPSK-like (Binary Phase Shift Keying like)算法可以對BOC調(diào)制信號進(jìn)行單邊帶處理的特性,以及北斗系統(tǒng)B2頻段的AltBOC(10,5)(Alternative BOC)調(diào)制信號兩個邊帶包含不同導(dǎo)航信息的特點,將BPSK-like算法擴(kuò)展到AltBOC(10,5)調(diào)制信號的捕獲,同時,經(jīng)仿真得到北斗系統(tǒng)的MB0C(6,1,1/11)(Multiplexed Binary Offset Carrier)調(diào)制信號和普通BOC(1,1)調(diào)制信號自相關(guān)特征相似的結(jié)論后,將ASPeCT (Autocorrelation Side-Peak Cancellation Technique)捕獲算法擴(kuò)展應(yīng)用于MBOC(6,1,1/11)信號,經(jīng)仿真驗證表明這兩種算法擴(kuò)展后保留了良好的捕獲性能,這十分有利于多模導(dǎo)航接收機(jī)的設(shè)計。 針對ASPeCT算法對BOC信號自相關(guān)次峰消除不夠徹底的問題,提出了一種全新改進(jìn)型ASPeCT算法,分析和仿真驗證表明,該算法比ASPeCT算法計算量更小,且去模糊效果更好。同時,針對ASPeCT算法和改進(jìn)型ASPeCT算法只適用于正弦型BOC (n,n)信號,適用面窄的缺點,提出了一種適用于正弦和余弦型BOC(n,n)調(diào)制信號的無模糊捕獲算法,該算法得到的相關(guān)輸出相比前面兩種算法主峰更高,因此,抗干擾能力更強(qiáng),更易被準(zhǔn)確捕獲。 最后,在研究了新型PUDLL (Pseudo correlation function based Unambiguous Delay Lock Loop)跟蹤環(huán)路之后,提出并驗證了兩種去模糊的BOC信號跟蹤算法,其中的一種消去了所有余弦型BOC信號自相關(guān)函數(shù)絕大部分的次峰,而且保留了BOC信號抗多徑性能強(qiáng)的特性。另一種算法適用于MBOC(6,1,1/11)調(diào)制信號,由仿真分析得到該算法的跟蹤精度和去模糊性能都明顯優(yōu)于ASPeCT跟蹤算法。
[Abstract]:The new binary offset carrier (Binary Offset Carrier, BOC) modulation method is applied to the signal modulation of satellite navigation system, which solves the coexistence problem of satellite navigation system such as Beidou, Galileo GPS and so on under the condition of limited frequency band resources. The navigation accuracy of navigation receiver is also improved, and the ability of navigation signal to resist multipath influence is enhanced. However, because the autocorrelation function of BOC modulation signal has multiple peaks, it will cause fuzziness, so it needs to be solved by a new capture and tracking algorithm. The development of multi-mode satellite navigation receiver based on multi-system also puts forward new requirements for the adaptability and expansibility of BOC modulation signal acquisition and tracking algorithm. Therefore, this paper focuses on solving the fuzziness problem of BOC modulation signal and improving the adaptability of BOC signal acquisition and tracking algorithm, which mainly includes the following work. In view of the characteristic that BPSK-like (Binary Phase Shift Keying like) algorithm can process BOC modulation signal by single sideband, and that the two sideband signals of Beidou system B2 band contain different navigation information, the BPSK-like algorithm is extended to capture AltBOC modulation signal. At the same time, the simulation results show that the MB0C (6 / 1 / 1 / 11) modulation signal of Beidou system is similar to that of the ordinary BOC (1 / 1) modulation signal, and then the ASPeCT (Autocorrelation Side-Peak Cancellation Technique) acquisition algorithm is extended to MBOC (61 / 1 / 1 / 11) signal. Simulation results show that the two algorithms retain good capture performance, which is very beneficial to the design of multimode navigation receiver. Aiming at the problem that the ASPeCT algorithm is not enough to eliminate the sub-peak autocorrelation of BOC signals, a new modified ASPeCT algorithm is proposed. The analysis and simulation results show that the algorithm is less computational than the ASPeCT algorithm, and the effect of de-blurring is better than that of the ASPeCT algorithm. At the same time, aiming at the disadvantage that the ASPeCT algorithm and the improved ASPeCT algorithm are only suitable for sinusoidal BOC (NCN) signals, a fuzzy free acquisition algorithm is proposed for sinusoidal and cosine BOC (NNN) modulated signals. The correlation output of the algorithm is higher than the main peak of the two previous algorithms, so the anti-jamming ability is stronger and it is easier to be captured accurately. Finally, after studying a new PUDLL (Pseudo correlation function based Unambiguous Delay Lock Loop) tracking loop, two de-fuzzy BOC signal tracking algorithms are proposed and validated, one of which eliminates the subpeaks of most of the autocorrelation functions of all cosine BOC signals. Moreover, the characteristics of BOC signal with strong anti-multipath performance are retained. The other algorithm is suitable for MBOC (6 / 1 / 1 / 11) modulation signal. The simulation results show that the tracking accuracy and deblurring performance of this algorithm are obviously better than that of ASPeCT tracking algorithm.
【學(xué)位授予單位】：中國科學(xué)技術(shù)大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TN96.1

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本文編號：2207802