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Consider the problem of estimating the position and the velocity of an emitter given time and frequency differences of arrival acquired by a passive sensor array. By jointly eliminating the non-linear nuisance parameters of the model using an appropriate orthogonal projection, we obtain a least squares estimator of the parameters of interest. The advantage of the proposed estimator is the reduction...
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, we explore the use of redundant range differences in signal estimation and detection. Redundant range differences are known to lie in a certain subspace. This information forms our basis of estimation and detection algorithms. In addition to this information, we also use the configuration of the base stations to check the consistency of range difference estimates. In summary we propose...
The estimation of complex Fourier coefficients of periodic functions from additively error disturbed observations is discussed. This is the first step of most methods for estimating the parameters of linear dynamic systems from noise disturbed responses to periodic perturbation signals. In this type of estimation problem the period is known. The complex Fourier coefficient estimator is also the first...
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