Global Navigation Satellite Systems, Inertial Navigation, and Integration, 4/e (Hardcover) (全球導航衛星系統、慣性導航與整合(第4版))
Grewal, Mohinder S., Andrews, Angus P., Bartone, Chris G.
- 出版商: Wiley
- 出版日期: 2020-01-22
- 定價: $1,820
- 售價: 8.0 折 $1,456
- 語言: 英文
- 頁數: 608
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1119547830
- ISBN-13: 9781119547839
-
相關分類:
衛星通訊 Satellite-networking
立即出貨 (庫存 < 4)
相關主題
商品描述
Covers significant changes in GPS/INS technology, and includes new material on GPS, GNSSs including GPS, Glonass, Galileo, BeiDou, QZSS, and IRNSS/NAViC, and MATLAB programs on square root information filtering (SRIF)
This book provides readers with solutions to real-world problems associated with global navigation satellite systems, inertial navigation, and integration. It presents readers with numerous detailed examples and practice problems, including GNSS-aided INS, modeling of gyros and accelerometers, and SBAS and GBAS. This revised fourth edition adds new material on GPS III and RAIM. It also provides updated information on low cost sensors such as MEMS, as well as GLONASS, Galileo, BeiDou, QZSS, and IRNSS/NAViC, and QZSS. Revisions also include added material on the more numerically stable square-root information filter (SRIF) with MATLAB programs and examples from GNSS system state filters such as ensemble time filter with square-root covariance filter (SRCF) of Bierman and Thornton and SigmaRho filter.
Global Navigation Satellite Systems, Inertial Navigation, and Integration, 4th Edition provides:
- Updates on the significant upgrades in existing GNSS systems, and on other systems currently under advanced development
- Expanded coverage of basic principles of antenna design, and practical antenna design solutions
- More information on basic principles of receiver design, and an update of the foundations for code and carrier acquisition and tracking within a GNSS receiver
- Examples demonstrating independence of Kalman filtering from probability density functions of error sources beyond their means and covariances
- New coverage of inertial navigation to cover recent technology developments and the mathematical models and methods used in its implementation
- Wider coverage of GNSS/INS integration, including derivation of a unified GNSS/INS integration model, its MATLAB implementations, and performance evaluation under simulated dynamic conditions
Global Navigation Satellite Systems, Inertial Navigation, and Integration, Fourth Edition is intended for people who need a working knowledge of Global Navigation Satellite Systems (GNSS), Inertial Navigation Systems (INS), and the Kalman filtering models and methods used in their integration.
商品描述(中文翻譯)
本書涵蓋了GPS/INS技術的重大變革,並包括有關GPS、GNSS(包括GPS、Glonass、Galileo、BeiDou、QZSS和IRNSS/NAViC)的新材料,以及關於平方根信息濾波(SRIF)的MATLAB程序。
本書為讀者提供了解決與全球導航衛星系統、慣性導航和整合相關的現實問題的解決方案。它提供了大量詳細的示例和練習問題,包括GNSS輔助的INS、陀螺儀和加速度計建模,以及SBAS和GBAS。這本修訂版第四版增加了有關GPS III和RAIM的新材料。它還提供了有關低成本傳感器(如MEMS)以及GLONASS、Galileo、BeiDou、QZSS和IRNSS/NAViC和QZSS的更新信息。修訂還包括有關更穩定的平方根信息濾波器(SRIF)的附加材料,以及來自GNSS系統狀態濾波器(如Bierman和Thornton的集合時間濾波器與平方根協方差濾波器(SRCF)和SigmaRho濾波器)的MATLAB程序和示例。
《全球導航衛星系統、慣性導航和整合,第四版》提供:
- 更新現有GNSS系統的重大升級以及其他正在進行高級開發的系統的最新信息
- 擴展了天線設計的基本原理和實用的天線設計解決方案的涵蓋範圍
- 更多關於接收機設計的基本原理的信息,以及GNSS接收機中代碼和載波獲取和跟踪的基礎的更新
- 例子展示了卡爾曼濾波與誤差源的概率密度函數之間的獨立性,超出了它們的均值和協方差
- 新增了對慣性導航的涵蓋範圍,包括最近技術發展以及其實施中使用的數學模型和方法
- 更廣泛的GNSS/INS整合範圍,包括統一的GNSS/INS整合模型的推導,其MATLAB實現以及在模擬動態條件下的性能評估
《全球導航衛星系統、慣性導航和整合,第四版》適用於需要對全球導航衛星系統(GNSS)、慣性導航系統(INS)以及卡爾曼濾波模型和方法在整合中的應用具有實際知識的人士。
作者簡介
MOHINDER S. GREWAL, PHD, PE, is a Professor of Electrical Engineering in the College of Engineering and Computer Science at California State University, Fullerton.
ANGUS P. ANDREWS, PHD, was a Senior Scientist (now retired) at the Rockwell Science Center, in Thousand Oaks, California.
CHRIS G. BARTONE, PHD, PE, is a Professor of Electrical Engineering in the Russ College of Engineering and Technology, School of Electrical Engineering and Computer Science at Ohio University, Athens, OH.
作者簡介(中文翻譯)
MOHINDER S. GREWAL, PHD, PE, 是加州州立大學富勒頓分校工程與計算機科學學院的電機工程學教授。
ANGUS P. ANDREWS, PHD, 曾是加州千橡市洛克威爾科學中心的高級科學家(現已退休)。
CHRIS G. BARTONE, PHD, PE, 是俄亥俄大學阿森斯分校Russ工程與技術學院電機工程與計算機科學學院的教授。