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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 of estimators are also included
to help readers grasp basic estimation concepts and offer them a
ready-reference guide.    Â
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 of estimators are also included
to help readers grasp basic estimation concepts and offer them a
ready-reference guide.
This book is to design, implement, test and cryptanalyze three
stream ciphers that are based on the multi-map orbit hopping
mechanism (Mmohom), a generic method to design stream ciphers.
Mmohocc, multi-map orbit hopping chaotic cipher: chaos has been
connected to cryptography due to its confusion and diffusion, the
two important properties of a secure cipher. We apply Mmohom to
multiple chaotic systems to construct Mmohocc, which greatly
accelerates chaos behavior and makes chaos more suitable for
cryptographic purposes. The keystreams have passed two batteries of
the most popular and stringent statistical tests. Cryptanalysis
shows that Mmohocc is resistant against known attacks.
Mmohom-LFSR-based cipher: Mmohom is used in conjunction with
multiple LFSRs (Linear Feedback Shift Register) to destroy the
linearity of LFSRs. Cryptanalysis against algebraic attack is
discussed. Mmohoct, multi-map orbit hopping cipher by T- functions:
the T-function has maximal single cycle property; meanwhile it has
some undesired algebraic patterns. We introduce the Mmohom to
destroy the unwanted properties and build two experimental Mmohoct
ciphers.
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