1997
DOI: 10.1002/j.2161-4296.1997.tb02343.x
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A Combined Filter for GPS-Based Attitude and Baseline Estimation

Abstract: This paper describes a methodology for combining attitude and baseline estimation into one comprehensive filter. The nominal filter states include attitude quaternion errors, angular velocity errors, and baseline errors. Previous approaches have relied on determining accurate baselines first and then using those baselines for attitude estimation. The method presented here combines these two steps into one algorithm. The advantage is that baseline calibration can be performed while simultaneously producing atti… Show more

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Cited by 21 publications
(11 citation statements)
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“…Note that the line bias is assumed to have been obtained by an additional procedure [13], and so it is not considered and will be neglected in the following derivation in this investigation. Technical treatment of the line bias can be found in [14].…”
Section: The Integer Ambiguity Search Principlementioning
confidence: 99%
“…Note that the line bias is assumed to have been obtained by an additional procedure [13], and so it is not considered and will be neglected in the following derivation in this investigation. Technical treatment of the line bias can be found in [14].…”
Section: The Integer Ambiguity Search Principlementioning
confidence: 99%
“…Another method is that the line biases are treated as components of the state vector of the system, and therefore, estimated along with other state components (e.g. Ward and Axelrad 1996;Purivigraipong et al 1999). A GPS receiver can measure only the fractional part of the carrier phase.…”
Section: Introductionmentioning
confidence: 99%
“…Cohen 1996;Crassidis and Markley 1997;Bar-Itzhach et al 1998;Li et al 2002) and (2) stochastic filtering algorithms (e.g. Ward and Axelrad 1996;Chun and Park 2001;Choukroun 2002). There are two types of point estimation algorithms.…”
Section: Introductionmentioning
confidence: 99%
“…A different mitigation technique, based on the assumption of low dynamics, is presented in [9]. In [9], the multipath interference effect on the attitude measurements is modeled by a sum of sinusoids.A different approach to the problem is presented in [10], where the multipath plus thermal noise is modeled as a first-order Gauss-Markov process. This statistical model is suitable for applying a Kalman filter [11].…”
mentioning
confidence: 99%
“…This statistical model is suitable for applying a Kalman filter [11]. Both methods [9,10] assume that the multipath model order is known a priori.Recently, a new method for calibrating multipath interference for a GPS-based attitude determination system was proposed [12]. This method, known as the Sky Map Method, shows improvement in and is especially suitable for a satellite in orbit.…”
mentioning
confidence: 99%