Confluence of navigation, communication, and control in distributed spacecraft systems

Stadter, P.A.; Chacos, A.A.; Heins, Robert J.; Moore, G. Ty; Olsen, Eric A.; Asher, M.S.; Bristow, John

doi:10.1109/62.1001989

Cited by 25 publications

(5 citation statements)

References 7 publications

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“…Indeed, distributed and smart grids require cooperation of geographically distributed nodes equipped with local data acquisition and learning capabilities [1]. Distributed estimation and fusion has already found application in both military and civilian scenarios [18]- [21], as cooperation between the nodes (sensors) provides more accurate and robust estimation over the independent nodes, while approaching the performance of centralised systems at much reduced communication overheads. Recent approaches include distributed least-mean-square estimation [22], [23] and Kalman filtering [20], [24], [25], however, these references considered models with circular measurement noise without cross-nodal correlations, which is not typical in real world power systems.…”

Section: Introductionmentioning

confidence: 99%

Distributed Widely Linear Frequency Estimation in Unbalanced Three Phase Power Systems

Kanna,

Dini,

Xia

et al. 2014

Preprint

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A novel method for distributed estimation of the frequency of power systems is introduced based on the cooperation between multiple measurement nodes. The proposed distributed widely linear complex Kalman filter (D-ACKF) and the distributed widely linear extended complex Kalman filter (D-AECKF) employ a widely linear state space and augmented complex statistics to deal with unbalanced system conditions and the generality complex signals, both second order circular (proper) and second order noncircular (improper). It is shown that the current, strictly linear, estimators are inadequate for unbalanced systems, a typical case in smart grids, as they do not account for either the noncircularity of Clarke's αβ voltage in unbalanced conditions or the correlated nature of nodal disturbances. We illuminate the relationship between the degree of circularity of Clarke's voltage and system imbalance, and prove that the proposed widely linear estimators are optimal for such conditions, while also accounting for the correlated and noncircular nature of real-world nodal disturbances. Synthetic and real world case studies over a range of power system conditions illustrate the theoretical and practical advantages of the proposed methodology.

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Section: Introductionmentioning

confidence: 99%

Distributed Widely Linear Frequency Estimation in Unbalanced Three Phase Power Systems

Kanna,

Dini,

Xia

et al. 2014

Preprint

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“…Indeed, GPS data have to be exchanged between the various satellites to form the differential GPS observables needed for CDGPS relative navigation. The RF link can be implemented by means of ranging transponders [12,[15][16][17] or GNSS-like signal-based systems [12,13], as the one experimented in the PRISMA mission [14].…”

Section: Introductionmentioning

confidence: 99%

Relative Navigation in LEO by Carrier-Phase Differential GPS with Intersatellite Ranging Augmentation

Renga

Grassi

Tancredi

2013

International Journal of Aerospace Engineering

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Carrier-phase differential GPS (CDGPS) is a promising technology for accurate relative navigation in LEO formations of cooperating satellites, but navigation filter robustness against poor GPS geometry and noisy measurements has to be improved. This can be performed by augmenting the navigation filter with intersatellite local ranging measurements, as the ones provided by ranging transponders or GNSS-like systems. In this paper, an augmented CDGPS navigation filter is proposed for the formation of two satellites characterized by a short, varying baseline, relevant to next generation Synthetic Aperture Radar missions. Specifically, a cascade-combination of dynamic and kinematic filters which processes double-differenced code and carrier measurements on two frequencies, as well as local inter-satellite ranging measurements, is used to get centimeter-level baseline estimates. The augmented filter is validated by numerical simulations of the formation orbital path. Results demonstrate that the proposed approach is effective in preserving the centimeter-level accuracy achievable by a CDGPS-only filter also in the presence of a poor GDOP or a limited number of GPS satellites in view.

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“…Distributed estimation and fusion has received significant attention in both military and civilian applications [1]- [4], and the recent advances in sensor technology and wireless communications have highlighted the usefulness of distributed networks in this context [1], [5]. Such models rely on cooperation between the nodes (sensors) to provide more accurate and robust estimation compared to using independent uncooperative nodes, while approaching the performance of the more complex centralised systems.…”

Section: Introductionmentioning

confidence: 99%

“…Standard, 'strictly linear' estimation in C assumes the same model but with complex valued y, x, and A. However, when y and x are jointly improper P yx = E{yx T } = 0, and x is improper so that P x = 0, then the optimal estimator becomes widely linear 1 , that is [14]…”

Section: Introductionmentioning

confidence: 99%

Distributed Widely Linear Complex Kalman Filtering

Dini,

Kanna,

Mandic

2013

Preprint

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We introduce cooperative sequential state space estimation in the domain of augmented complex statistics, whereby nodes in a network collaborate locally to estimate noncircular complex signals. For rigour, a distributed augmented (widely linear) complex Kalman filter (D-ACKF) suited to the generality of complex signals is introduced, allowing for unified treatment of both proper (rotation invariant) and improper (rotation dependent) signal distributions. Its duality with the bivariate real-valued distributed Kalman filter, along with several issues of implementation are also illuminated. The analysis and simulations show that unlike existing distributed Kalman filter solutions, the D-ACKF caters for both the improper data and the correlations between nodal observation noises, thus providing enhanced performance in real-world scenarios.

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Confluence of navigation, communication, and control in distributed spacecraft systems

Cited by 25 publications

References 7 publications

Distributed Widely Linear Frequency Estimation in Unbalanced Three Phase Power Systems

Distributed Widely Linear Frequency Estimation in Unbalanced Three Phase Power Systems

Relative Navigation in LEO by Carrier-Phase Differential GPS with Intersatellite Ranging Augmentation

Distributed Widely Linear Complex Kalman Filtering

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