臺灣博碩士論文加值系統

越來越多的應用與服務是以全球導航衛星系統(Global Navigation Satellite System, GNSS)做為基礎。但衛星導航系統往往會在傳遞訊號時容易受到干擾和欺騙，導致無法正常工作。其中，欺騙攻擊跟干擾比起來更具威脅和破壞性，因為它會將用戶導航至錯誤的位置及給予錯誤的時間，且不容易被發現，具有良好的隱蔽性。因此欺騙檢測對於許多重要的應用和服務是非常重要的。由於PN碼擷取是基頻訊號處理的第一步，因此在擷取階段做欺騙檢測相較於其他階段更為即時，且可以更快的提出警報。因此本文提出一個基於序貫機率比檢驗(Sequential Probability Ratio Test, SPRT)在擷取階段做欺騙檢測的方法，理論分析及推導所提出之方法，並提供結果與分析。

An increasing number of applications and services are based on the Global Navigation Satellite System (GNSS). But satellite navigation systems tend to be in the transmission of signals easily jamming and spoofing, resulting in failure to work properly. Among them, the spoofing attack is more threatening and destructive than the jamming, because it will navigate the user to the wrong location and give the wrong time, and is not easy to be found, with good concealment. So spoofing detection is very important for many important applications and services. Since PN code acquisition is the first step of baseband signal processing, spoofing detection is more immediate and faster at the acquisition stage than other stages. Therefore, this thesis presents a method based on Sequential Probability Ratio Test(SPRT) at the acquisition stage to perform spoofing detection. Theoretical analysis of the proposed method is also presented. Finally, Some results are provided.

目次
誌謝……………………………………………………………………………..……Ⅰ
摘要……………………………………………………………………………..……Ⅱ
Abstract…………………………………………………………………….. …..……Ⅲ
目次…………………………………………………………………………………..Ⅴ
圖目次…………………………………………………………………………........ .Ⅵ
名詞縮寫………………………………………………………………………........ ...1
第一章 緒論………………………………………………………………………..…2
1.1 前言 2
1.2 研究動機 2
1.3 論文架構 3
第二章 GNSS概述……………………………………………………………………4
2.1 GNSS概述 4
2.2 GPS定位原理 4
2.3 GPS接收機簡介 5
2.4 訊號擷取與追蹤 7
2.4.1 訊號擷取……………………………………………………………..…..7
2.4.2 訊號追蹤…………………………………………………………………8第三章 欺騙式干擾………………………………………………………………..…9
3.1 Spoofing介紹 9
3.2 欺騙時GPS之漏洞 10
3.3 抗欺騙 11
3.3.1 欺騙檢測…………………………………………………………..……11
第四章 序貫機率比檢測……………………………………………………………13
4.1 假設檢定 13
4.2 欺騙檢測模型 13
4.2.1 修正貝索函數……………………………………………………..……15
4.3 序貫機旅比檢測原理 16
4.4 欺騙檢測 18
4.5 性能分析 21
4.5.1 欺騙檢測操作特性………………………………………………..……21
4.5.2 平均欺騙檢測次數…………………………………………………..…23
4.5.3 性能上限……………………………………………………………..…24
第五章 結果與分析…………………………………………………………………26
5.1 模擬結論分析 26
第六章 結果與分析…………………………………………………………………32
6.1 結論 32
6.2 未來展望 32
參考文獻……………………………………………………………………………..33
附錄A 35
附錄B 37
附錄C 40
附錄D 42
附錄E 43

參考文獻

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