This thesis is to investigate the integration of Precise Point Positioning GPS and low cost

MEMS IMU. Both loosely and tightly coupled Kalman filters are developed to derive the

optimal navigation solution.Global Positioning System (GPS) and low cost Inertial Navigation System (INS)

integrated systems are expected to become more widespread as a result of the availability

of low cost inertial Micro-Electro-Mechanical Sensors (MEMS). This integrated system

has been widely and successfully applied in many applications, such as vehicle

navigation and mobile mapping system. -This thesis is to investigate the integration of Precise Point Positioning GPS and low cost

MEMS IMU. Both loosely and tightly coupled Kalman filters are developed to derive the

optimal navigation solution.Global　Positioning　System　(GPS)　and　low　cost　Inertial　Navigation　System　(INS)

integrated systems are expected to become more widespread as a result of the availability

of low cost inertial Micro-Electro-Mechanical Sensors (MEMS). This integrated system

has　been　widely　and　successfully　applied　in　many　applications,　such　as　vehicle

navigation and mobile mapping system.