本文選題：全球?qū)Ш叫l(wèi)星系統(tǒng) + 高精度定位�。� 參考：《浙江大學》2014年碩士論文

【摘要】：移動互聯(lián)網(wǎng)中的移動互聯(lián)位置服務(LBS)以及物聯(lián)網(wǎng)的發(fā)展都需要高精度定位技術的支持。本文旨在研究可靠、穩(wěn)定的高精度定位衛(wèi)星信號接收技術。 矢量跟蹤方案作為一種先進的導航信號接收技術,是近年來導航領域的研究熱點。它融合所有通道信息完成用戶解算并統(tǒng)一跟蹤所有衛(wèi)星信號,是一種比傳統(tǒng)算法更加緊湊的接收算法,能全面提高跟蹤的精度和魯棒性。不過矢量跟蹤的主要缺陷是偽碼鑒相輸出野值或者解算錯誤的影響會擴散至所有通道,破壞整個系統(tǒng)的跟蹤。 二進制偏移載波(BOC)調(diào)制信號接收技術是近年來高精度定位技術的另一研究熱點。BOC調(diào)制信號具有分裂頻譜和窄相關峰的特性,不僅能提高偽碼測距精度,而且可以兼容傳統(tǒng)的衛(wèi)星信號,因此正被廣泛用于下一代的衛(wèi)星信號中。它的主要缺陷是其自相關函數(shù)具有多峰性,使用傳統(tǒng)的環(huán)路跟蹤方法會引起跟蹤鎖定在錯誤的副峰位置上,從而對偽距測量結果引入固定偏差。這一誤差不能在解算中消除,導致定位結果偏移。 基于以上技術研究背景,本文的研究工作主要有以下幾個方面： (1).從GNSS衛(wèi)星信號的接收模型出發(fā),介紹了一個傳統(tǒng)的衛(wèi)星信號接收機的各組成部分以及工作原理；然后在介紹線性卡爾曼濾波器以及非線性卡爾曼濾波器的建立過程和濾波算法的基礎上,以用戶解算為例子分析說明卡爾曼濾波器的工作過程。 (2).對矢量跟蹤技術進行了詳細的理論分析,重點研究了矢量跟蹤技術中導航濾波器的設計與工作原理；基于矢量環(huán)輔助標量環(huán)的思想,提出了一種改進的矢量跟蹤算法；該算法在傳統(tǒng)矢量跟蹤環(huán)路的基礎上,給每個跟蹤通道增加一個卡爾曼濾波器,同時利用解算結果和當前通道測量信息估計更新環(huán)路,結合了矢量環(huán)和標量環(huán)兩者的優(yōu)勢；通過仿真,分析比較了傳統(tǒng)算法和改進算法的跟蹤性能。 (3).從二進制偏移載波調(diào)制信號調(diào)制原理出發(fā),推導了其自相關函數(shù)以及功率譜密度函數(shù)的數(shù)學表達式；提出了運用矢量跟蹤技術對BOC信號進行跟蹤的創(chuàng)新思路和方法,并通過仿真驗證了其可行性。 (4).提出了一種基于類接收機自主完整性監(jiān)測(RAIM)的矢量跟蹤算法,仿真結果表明該算法不僅能解決BOC信號的潛在跟蹤模糊度問題,而且能提高信號的跟蹤精度和魯棒性。
[Abstract]:The development of LBS and the Internet of things need the support of high precision positioning technology. The purpose of this paper is to study the reliable and stable satellite signal receiving technology with high accuracy. As an advanced navigation signal receiving technology, vector tracking scheme is a hot topic in navigation field in recent years. It integrates all channel information to complete the user solution and tracks all satellite signals uniformly. It is a more compact receiving algorithm than the traditional algorithm and can improve the tracking accuracy and robustness. However, the main defect of vector tracking is that the outliers of pseudo-code discriminator or the error of the solution will spread to all channels and destroy the tracking of the whole system. Binary offset carrier carrier (BOC) modulation signal receiving technology is another research hotspot of high precision localization technology in recent years. BOC modulation signal has the characteristics of splitting spectrum and narrow correlation peak, which can not only improve the precision of pseudo code ranging. And compatible with traditional satellite signals, it is being widely used in the next generation of satellite signals. Its main defect is that its autocorrelation function has multi-peak property. Using the traditional loop tracking method will cause tracking to lock in the wrong sub-peak position, thus introducing a fixed deviation to the pseudo-range measurement results. This error can not be eliminated in the solution, resulting in the migration of the positioning results. Based on the above technical research background, the research work of this paper mainly includes the following aspects: There is no such thing as a bird. Based on the receiving model of GNSS satellite signal, this paper introduces the components and working principle of a traditional satellite signal receiver. Then, based on the introduction of linear Kalman filter, nonlinear Kalman filter and filtering algorithm, the working process of Kalman filter is analyzed with user solution as an example. There are two pieces of water. Based on the idea of vector loop auxiliary scalar loop, an improved vector tracking algorithm is proposed. Based on the traditional vector tracking loop, an Kalman filter is added to each tracking channel, and the update loop is estimated by using the solution results and the current channel measurement information, which combines the advantages of vector loop and scalar loop. By simulation, the tracking performance of the traditional algorithm and the improved algorithm are analyzed and compared. 3. Based on the modulation principle of binary offset carrier modulation signal, the mathematical expressions of autocorrelation function and power spectral density function are derived, and the innovative idea and method of using vector tracking technology to track BOC signal are put forward. The feasibility is verified by simulation. 4. A vector tracking algorithm based on autonomous integrity monitoring (Ram) is proposed. Simulation results show that the algorithm can not only solve the potential ambiguity problem of BOC signal, but also improve the tracking accuracy and robustness of the signal.
【學位授予單位】：浙江大學
【學位級別】：碩士
【學位授予年份】：2014
【分類號】：TN96.1

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相關博士學位論文 前1條

1 張欣;GNSS實時矢量跟蹤技術研究[D];上海交通大學;2013年

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