A new stochastic impressionistic low Earth model of the space debris scenario

Ananthasayanam, M. R.; Anilkumar, A. K.; Rao, P. V.

doi:10.1016/j.actaastro.2006.04.003

Cited by 8 publications

(7 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The calculated spatial densities are normalized so as to model with probability distributions. Laplace distribution without area parameter was observed as the best suited distribution for modelling the number of objects in different altitude bands (Ananthasayanam et al 2006). The spatial density is modelled using modified Laplace distribution and mixtures of them (Anilkumar & Sudheer Reddy 2009).…”

Section: Modelling Of the Spatial Densitymentioning

confidence: 99%

“…Spatial density models are useful in understanding the long-term likelihood of a collision in a particular region of space and also helpful in pre-launch orbit planning. Ananthasayanam et al (2006), have shown that the number density 'n' in LEO can be represented by a mixture of Laplace distributions. Anilkumar & Sudheer Reddy (2009) used these models for statistical conjunction analysis by classifying the debris population in low Earth orbits into three inclination regions viz., 0 • -180 • , 95 • -105 • , 98 • -99 • .…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Modelling spatial density using continuous wavelet transforms

Reddy¹,

Reddy

Anilkumar

2013

Sadhana

View full text Add to dashboard Cite

Due to increase in the satelite launch activities from many countries around the world the orbital debris issue has become a major concern for the space agencies to plan a collision-free orbit design. The risk of collisions is calculated using the in situ measurements and available models. Spatial density models are useful in understanding the long-term likelihood of a collision in a particular region of space and also helpful in pre-launch orbit planning. In this paper, we present a method of estimating model parameters such as number of peaks and peak locations of spatial density model using continuous wavelets. The proposed methodology was experimented with two line element data and the results are presented.

show abstract

Section: Modelling Of the Spatial Densitymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Modelling spatial density using continuous wavelet transforms

Reddy¹,

Reddy

Anilkumar

2013

Sadhana

View full text Add to dashboard Cite

show abstract

“…In the area of analytical modeling related to fragmentation, a number of approaches are developed to study the evolution of break up fragments [3][4][5][6][7][8][9][10][11]. Further modeling of fragmentation and subsequent decay of space objects in LEO and Geostationary Transfer orbit (GTO) are in progress [12,13].…”

Section: Over View Of Space Debris Activities In Isromentioning

confidence: 99%

“…1. Different deterministic and stochastic models, developed in ISRO, for fragmentation events, are reported in [3][4][5][6][7][8][9][10][11] The decommissioning of INSAT-2C was planned along the lines of International Guidelines of Space Debris management by targeting apogee and perigee heights above GSO. The maneuvers had to be planned and executed having observed the propellant-depleted condition.…”

Section: Passivation Of Upper Stagesmentioning

confidence: 99%

Space debris mitigation measures in India

Adimurthy

Ganeshan

2006

Acta Astronautica

View full text Add to dashboard Cite

“…To more recent models such as Talent's (1992) particle-in-a-box (PIB) model, NASA's CHAIN model (later CHAINEE) (Rex and Eichler, 1993), Nazarenko's (1993) model, the stochastic analog tool (Rossi et al, 1995), the stochastic impressionistic low Earth model (Ananthasayanama et al, 2006) and the University of Southampton's Fast Debris Evolution (FADE) model (Lewis et al, 2009b). …”

Section: The Cascade Modelmentioning

confidence: 99%

An adaptive strategy for active debris removal

White

Lewis

2014

Advances in Space Research

View full text Add to dashboard Cite

Many parameters influence the evolution of the near-Earth debris population, including launch, solar, explosion and mitigation activities, as well as other future uncertainties such as advances in space technology or changes in social and economic drivers that effect the utilisation of space activities.These factors lead to uncertainty in the long-term debris population. This uncertainty makes it difficult to identify potential remediation strategies, involving active debris removal (ADR), that will perform effectively in all possible future cases. Strategies that cannot perform effectively, because of this uncertainty, risk either not achieving their intended purpose, or becoming a hindrance to the efforts of spacecraft manufactures and operators to address the challenges posed by space debris.One method to tackle this uncertainty is to create a strategy that can adapt and respond to the space debris population. This work explores the concept of an adaptive strategy, in terms of the number of objects required to be removed by ADR, to prevent the low Earth orbit ( The results show that using an adaptive ADR rate generated by CASCADE, alongside good compliance with existing mitigation measures, increases the probability of achieving a constant LEO population of objects greater than 10 cm. This was shown to be 12 per cent greater compared with removing five objects per year, with the additional advantage of requiring only 3.1 removals per year, on average.

show abstract

A new stochastic impressionistic low Earth model of the space debris scenario

Cited by 8 publications

References 2 publications

Modelling spatial density using continuous wavelet transforms

Modelling spatial density using continuous wavelet transforms

Space debris mitigation measures in India

An adaptive strategy for active debris removal

Contact Info

Product

Resources

About