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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Spacecraft Autonomous Navigation Technologies Based on Multi-Source Information Fusion

Spacecraft Autonomous Navigation Technologies Based on Multi-Source Information Fusion

Wang, Dayi
Li, Maodeng
Huang, Xiangyu

Hardcover

Series: Space Science and Technologies

Technology & Engineering

ISBN10: 9811548781
ISBN13: 9789811548789
Publisher: Springer Nature
Published: Aug 1 2020
Pages: 340
Weight: 1.51
Height: 0.81 Width: 6.14 Depth: 9.21
Language: English
This book introduces readers to the fundamentals of estimation and dynamical system theory, and their applications in the field of multi-source information fused autonomous navigation for spacecraft. The content is divided into two parts: theory and application. The theory part (Part I) covers the mathematical background of navigation algorithm design, including parameter and state estimate methods, linear fusion, centralized and distributed fusion, observability analysis, Monte Carlo technology, and linear covariance analysis. In turn, the application part (Part II) focuses on autonomous navigation algorithm design for different phases of deep space missions, which involves multiple sensors, such as inertial measurement units, optical image sensors, and pulsar detectors. By concentrating on the relationships between estimation theory and autonomous navigation systems for spacecraft, the book bridges the gap between theory and practice. A wealth of helpful formulas and various types ofestimators are also included to help readers grasp basic estimation concepts and offer them a ready-reference guide.

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