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This paper focuses on the design and test results of an adaptive variation of Kalman filter (KF) estimator based on fusing data from Inertial Measurement Unit (IMU) and two Real Time Kinematic (RTK) Global Positioning Systems (GPS) for driftless 3-D attitude determination and robust position estimation of mobile robots. GPS devices are notorious for their measurement errors vary from one point to...
In this paper, a novel self-calibration method is developed for a camera attached to a mechanical system with known kinematics. An innovative least squares estimator is developed to compute the unknown intrinsic and extrinsic camera calibration parameters while an adaptive parameterized error prediction formulation is presented to compensate for the unknown pixel coordinates of the static objects...
To investigate the blind roll-off factor and symbol rate estimation of any linear digital modulation scheme, such as phase-shift keying (PSK) and quadrature amplitude modulation (QAM), an algorithm based on the inverse Fourier transform and the least squares estimator is proposed. First, the magnitude of the raised cosine pulse is provided by the inverse Fourier transform of the preprocessed power...
Hoerl and Kennard introduced a class of biased estimators (ridge estimators) for the parameters in an ill-conditioned linear model. In this paper the ridge estimators are viewed as a subclass of linear transforms of the least squares estimators. An alternative class of estimators, labeled shrunken estimators is considered. It is shown that these estimators satisfy the admissibility condition proposed...
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