Launch Detection Satellite System Engineering Error Analysis

Beaulieu, Martin; Alfriend, Kyle T.; Jerardi, T W

doi:10.2514/2.3357

Cited by 6 publications

(5 citation statements)

References 2 publications

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“…10 Denote the position of the satellite by X s ¼ ½x s , y s , z s T in ECF-CS, the trajectory from first detection in the launching coordinate system (L-CS) is in a plane, then its coordinate in L-CS is F r ðtÞ ¼ ½x r ðtÞ, y r ðtÞ, 0 T which is unknown, where x r ðtÞ is the horizontal distance and y r ðtÞ is the vertical distance, and the trajectory is in XOY.…”

Section: Trajectory Estimation and Performance Prediction For Monoculmentioning

confidence: 97%

“…12,13 The model can be classified into two types: profile-based model and profile-free model. In Beaulieu and Alfriend, 14 the profile consists of the nominal (maximum range) horizontal and vertical distance from the launch point as the function of time. In Rudd et al, 9 Li et al, 15 and Li and Jildov, 16 the profile is defined by the thrust acceleration as the function of time.…”

Section: Trajectory Estimation and Performance Prediction For Monoculmentioning

confidence: 99%

“…Thus, the study on the performance in single coverage area is necessary. The tracking performance versus observational geometry in monocular condition is seldom seen in literatures expect for Beaulieu, 10 which made a qualitative analysis by calculating the derivation of tactical parameters with coordinates. However, performance in monocular condition should be studied in depth.…”

Section: Introductionmentioning

confidence: 99%

“…Rudd et al 9 introduced the detection and tracking algorithms and approaches for the processing of data from a single satellite and multiple satellites. Beaulieu 10 gave the launching tactical parameters profile-based algorithm in details and made the error analysis. However, these works mainly focus on the study of tracking algorithms, and the tracking performance analysis is under some specific scenarios by Monte Carlo simulations.…”

Section: Introductionmentioning

confidence: 99%

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Global performance analysis for space-based missile warning system

Liu

Shen

et al. 2016

Proceedings of the Institution of Mechanical Engineers, Part G:

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Global tracking performance analysis in near-real time for the space-based missile warning system is an architecture level demand for the system designers. The traditional method which based on Monte Carlo simulations cannot meet the demand for its time-consuming nature. In this paper, non-simulation rapid performance prediction methods in stereopsis and monocular observation conditions are studied. The latter, though inevitable, has not been taken into account in other literatures. Furthermore, we also find the geometrical symmetry for monocular observation and propose a rapid analysis method called compass of performance based on this symmetry.

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Section: Trajectory Estimation and Performance Prediction For Monoculmentioning

confidence: 97%

Section: Trajectory Estimation and Performance Prediction For Monoculmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Global performance analysis for space-based missile warning system

Liu

Shen

et al. 2016

Proceedings of the Institution of Mechanical Engineers, Part G:

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“…Three main types of errors exist in space-based infrared detection: time error, LOS (line of sight) error, and satellite position error [ 32 ]. The amplitude of the time error is relatively small, and it can be gradually smaller with continuous measurement.…”

Section: Detection Error Analysis and Focal Plane Measurement Modementioning

confidence: 99%

Space-Based Focal Plane Ambiguous Measurement Ballistic Target MeMber Tracking

Zhao

Huang

Cao

2018

Sensors

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Aimed at space-based passive detection and tracking of ballistic targets, a multi-target multi-Bernoulli (MeMber) filtering algorithm based on a focal plane ambiguous measurement model is proposed. The measurement error sources of space-based passive detection are analyzed. It is found that focal plane target tracking is the basis of space target tracking in the framework of the distributed data processing structure, and the main error of focal plane measurement is pixel resolution. Based on the above analysis, the focal plane ambiguous measurement model is established to replace the traditional measurement model and the generalized likelihood function is designed. Finally, the MeMber filter is modified based on ambiguous measurement and generalized likelihood function. The simulation experiment compares the tracking effect of a MeMber filter based on ambiguous measurement and traditional measurement, respectively. The filter based on ambiguous measurement achieves better results. It shows that ambiguous measurement is closer to reality and has more application value.

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