本文選題：BOC調(diào)制 + 無模糊捕獲　； 參考：《北京理工大學(xué)》2015年碩士論文

【摘要】：隨著導(dǎo)航技術(shù)的發(fā)展，導(dǎo)航信號的頻帶變得越來越擁擠。BOC(Binary OffsetCarrier)調(diào)制的提出合理有效地利用了頻帶資源。與傳統(tǒng)的GPS信號相比，BOC信號采用二進(jìn)制偏移載波調(diào)制，這使得頻譜的能量由載頻附近搬移到頻帶的兩邊。這樣就有效地避免了多信號的頻譜混疊，有效利用了頻帶資源。與BPSK調(diào)制相比，BOC信號的自相關(guān)函數(shù)的相關(guān)峰要尖銳的多。因此，BOC調(diào)制信號可以提高碼環(huán)跟蹤精度、增強(qiáng)抗干擾能力和具有更好的抗多徑能力。與傳統(tǒng)GPS信號相比，BOC信號自相關(guān)函數(shù)具有多峰值特性，導(dǎo)致捕獲結(jié)果具有模糊性。這就使BOC信號的捕獲比傳統(tǒng)BPSK信號要復(fù)雜。因此選擇BOC信號無模糊捕獲技術(shù)來展開研究。 本文重點(diǎn)針對BOC(n,n)信號和BOC(m,n)信號無模糊捕獲技術(shù)展開研究。首先，闡述了課題的研究背景和意義，包括BOC信號無模糊捕獲技術(shù)的發(fā)展趨勢以及研究現(xiàn)狀。隨后，研究了BOC信號的特性，，包括信號產(chǎn)生、功率譜密度、自相關(guān)函數(shù)，分析了在導(dǎo)航應(yīng)用領(lǐng)域中采用BOC調(diào)制技術(shù)的優(yōu)缺點(diǎn)。其次，對BOC(n,n)信號介紹了常用的幾種捕獲算法，在此基礎(chǔ)上提出了一種新的無模糊捕獲算法。對BOC(m,n)信號介紹了常用捕獲算法，分別在時域和頻域給出了兩種無模糊捕獲算法。根據(jù)改進(jìn)的算法用Matlab對其進(jìn)行了仿真驗(yàn)證。最后，在前面理論分析和仿真的基礎(chǔ)上，完成了基于濾波的BOC(m,n)信號無模糊捕獲算法的FPGA實(shí)現(xiàn)，并對其進(jìn)行了模塊劃分，描述了各個模塊的功能，給出了Modelsim仿真圖。
[Abstract]:With the development of navigation technology, the frequency band of navigation signal becomes more and more crowded. Compared with the traditional GPS signal, the BOC signal is modulated by binary offset carrier, which makes the energy of the spectrum move from the carrier frequency to the two sides of the frequency band. In this way, the multi-signal spectrum aliasing is avoided effectively and the frequency band resource is utilized effectively. Compared with BPSK modulation, the correlation peak of autocorrelation function is much sharper. Therefore, BOC modulation signal can improve the tracking accuracy of code loop, enhance the ability of anti-jamming and have better anti-multipath ability. Compared with the traditional GPS signal, the autocorrelation function of the GPS signal has the characteristics of multiple peaks, which leads to the ambiguity of the acquisition results. This makes the acquisition of BOC signal more complicated than traditional BPSK signal. Therefore, BOC signal acquisition without ambiguity technology is chosen to carry out the research. In this paper, we focus on the fuzzy free acquisition techniques for BOCU / n) signals and BOCU / M / n) signals. Firstly, the background and significance of the research are described, including the development trend and research status of BOC signal acquisition without ambiguity. Then, the characteristics of BOC signal are studied, including signal generation, power spectral density, autocorrelation function, and the advantages and disadvantages of using BOC modulation technology in navigation applications are analyzed. Secondly, several common acquisition algorithms are introduced, and a new fuzzy free acquisition algorithm is proposed. In this paper, we introduce the usual acquisition algorithms for BOCMAM (n) signals, and give two fuzzy free acquisition algorithms in time domain and frequency domain, respectively. The improved algorithm is simulated by Matlab. Finally, on the basis of theoretical analysis and simulation above, the FPGA implementation of the filter based Bockomn signal acquisition algorithm is completed, and the modules are divided, the functions of each module are described, and the Modelsim simulation diagram is given.
【學(xué)位授予單位】：北京理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：TN911.3

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本文編號：1937267