Airborne Kinematic Attitude Determination Using GPS Phase Interferometry.
نویسندگان
چکیده
منابع مشابه
Analysis of Attitude Determination Methods Using GPS Carrier Phase Measurements
If three or more GPS antennas are mounted properly on a platform and differences of GPS signals measurements are collected simultaneously, the baselines vectors between antennas can be determined and the platform orientation defined by these vectors can be calculated. Thus, the prerequisite for attitude determination technique based on GPS is to calculate baselines between antennas to millimete...
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The vectorized algorithms for GPS based attitude determination can be equivalent to a two-level optimal estimation problem. In the first level estimation the GPS carrier phase measurements can be converted to the vector observations in a sense of least squares. The second level estimation is the Wahba’s problem which describes how the attitude matrix can be derived from the vector observations....
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This paper describes a set of numerical optimization algorithms for solving the GPS based attitude determination problem We pose the problem as one of minimizing the function tr N Q W with respect to SO where N Q andW are given matrices The method of steepest descent and Newton s method are generalized to SO by taking advantage of its Lie group structure Analytic solutions to the line search pr...
متن کاملOn-the-fly GPS-based attitude determination using single- and double- differenced carrier phase measurements
Carrier phase measurements are primary observations for GPS attitude determination. Although the satelliterelated errors can be virtually eliminated by forming single differences, the baseline-related errors, such as line biases, are still present in the single-differenced carrier phase measurements. It is, therefore, difficult to resolve the single-differenced integer ambiguities due to the li...
متن کاملThe Attitude Determination Algorithm Using Integrated Gps/ins Data
Traditionally, the extended Kalman filter (EKF) is a well known approach for general nonlinear data fusion problem. But the unit norm constraint of quaternion vector, which is the most efficient expression of attitude, results in the singularity of error covariance matrix. To overcome this difficulty, the modified extended Kalman filter (MEKF) has been developed by Shuster (1982). In order to i...
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ژورنال
عنوان ژورنال: Journal of the Japan Society for Aeronautical and Space Sciences
سال: 1996
ISSN: 0021-4663
DOI: 10.2322/jjsass1969.44.741