LISA: Heliocentric formation design for the laser interferometer space antenna mission

Joffre, Éric; Wealthy, D.; Fernández, Ignacio Anta; Trenkel, C.; Voigt, Philipp; Ziegler, T.; Martens, Waldemar

doi:10.1016/j.asr.2020.09.034

Cited by 26 publications

(16 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Accounting for the sole influence of the Sun, the computation of their positions and velocities reduces to a two-body problem, which can be solved semi-analytically [18,19]. A more realistic approach uses a set of orbits computed using numerical integration (which includes the influence of the more massive objects in the Solar System) optimized for a given set of constraints, such as minimizing the motion of the spacecraft relative to one another [19][20][21].…”

Section: Interferometric Measurementsmentioning

confidence: 99%

“…The factor ḋij (t)D ij ν j is often referred to as the Doppler shift, and is proportional to the time derivative of the light TT. Figure 2 show the time variations of such quantities for realistic orbits [20,21], of the order of 10 −8 (or 3 m s −1 ). The inter-spacecraft interferometer mixes the local and distant beams.…”

Section: Interferometric Measurementsmentioning

confidence: 99%

See 1 more Smart Citation

Adapting time-delay interferometry for LISA data in frequency

Bayle,

Hartwig,

Staab

2021

Preprint

View full text Add to dashboard Cite

Time-delay interferometry (TDI) is a post-processing technique used to reduce laser noise in heterodyne interferometric measurements with unequal armlengths, a situation characteristic of space gravitational detectors such as the Laser Interferometer Space Antenna (LISA). This technique consists in properly time-shifting and linearly combining the interferometric measurements in order to reduce the laser noise by several orders of magnitude and to detect gravitational waves. In this communication, we show that the Doppler shift due to the time evolution of the armlengths leads to an unacceptably large residual noise when using interferometric measurements expressed in units of frequency and standard expressions of the TDI variables. We also present a technique to mitigate this effect by including a scaling of the interferometric measurements in addition to the usual timeshifting operation when constructing the TDI variables. We demonstrate analytically and using numerical simulations that this technique allows one to recover standard laser noise suppression which is necessary to measure gravitational waves.

show abstract

Section: Interferometric Measurementsmentioning

confidence: 99%

Section: Interferometric Measurementsmentioning

confidence: 99%

Adapting time-delay interferometry for LISA data in frequency

Bayle,

Hartwig,

Staab

2021

Preprint

View full text Add to dashboard Cite

show abstract

“…DSSs are comprised of a large number of spacecraft that cooperate with one another to accomplish a specific mission objective [ 4 ]. In some circumstances, DSSs combine to generate a sensory system that would be impossible to create on a monolithic platform [ 5 , 6 ]. In other configurations, they use distributed measurements to extract data on the spatial and temporal consequences of phenomena that are far larger than what a single spacecraft can observe due to limited swath width and duty cycle [ 7 , 8 ].…”

Section: Introductionmentioning

confidence: 99%

Trusted Autonomous Operations of Distributed Satellite Systems Using Optical Sensors

Thangavel

Spiller

Sabatini

et al. 2023

Sensors

View full text Add to dashboard Cite

Recent developments in Distributed Satellite Systems (DSS) have undoubtedly increased mission value due to the ability to reconfigure the spacecraft cluster/formation and incrementally add new or update older satellites in the formation. These features provide inherent benefits, such as increased mission effectiveness, multi-mission capabilities, design flexibility, and so on. Trusted Autonomous Satellite Operation (TASO) are possible owing to the predictive and reactive integrity features offered by Artificial Intelligence (AI), including both on-board satellites and in the ground control segments. To effectively monitor and manage time-critical events such as disaster relief missions, the DSS must be able to reconfigure autonomously. To achieve TASO, the DSS should have reconfiguration capability within the architecture and spacecraft should communicate with each other through an Inter-Satellite Link (ISL). Recent advances in AI, sensing, and computing technologies have resulted in the development of new promising concepts for the safe and efficient operation of the DSS. The combination of these technologies enables trusted autonomy in intelligent DSS (iDSS) operations, allowing for a more responsive and resilient approach to Space Mission Management (SMM) in terms of data collection and processing, especially when using state-of-the-art optical sensors. This research looks into the potential applications of iDSS by proposing a constellation of satellites in Low Earth Orbit (LEO) for near-real-time wildfire management. For spacecraft to continuously monitor Areas of Interest (AOI) in a dynamically changing environment, satellite missions must have extensive coverage, revisit intervals, and reconfiguration capability that iDSS can offer. Our recent work demonstrated the feasibility of AI-based data processing using state-of-the-art on-board astrionics hardware accelerators. Based on these initial results, AI-based software has been successively developed for wildfire detection on-board iDSS satellites. To demonstrate the applicability of the proposed iDSS architecture, simulation case studies are performed considering different geographic locations.

show abstract

“…The primary obstacle is the extremely lengthy baseline distance, making communication and measurement difficult. For sufficient detection sensitivity, gravitational wave detectors in space need baseline distances of a few dozen kilometers or possibly millions of kilometers [ 10 , 11 ]. Nevertheless, such lengths would make it challenging to implement formation control methods that depend on relative state measurements.…”

Section: Introductionmentioning

confidence: 99%

Continuous Low-Thrust Maneuver Planning for Space Gravitational Wave Formation Reconfiguration Based on Improved Particle Swarm Optimization Algorithm

Wang

Lian

et al. 2023

Sensors

View full text Add to dashboard Cite

This study proposes a three-spacecraft formation reconfiguration strategy of minimum fuel for space gravitational wave detection missions in the high Earth orbit (105 km). For solving the limitations of measurement and communication in long baseline formations, a control strategy of a virtual formation is applied. The virtual reference spacecraft provides a desired relative state between the satellites, which is then used to control the motion of the physical spacecraft to maintain the desired formation. A linear dynamics model based on relative orbit elements’ parameterization is used to describe the relative motion in the virtual formation, which facilitates the inclusion of J2, SRP, and lunisolar third-body gravity effects and provides a direct insight into the relative motion geometry. Considering the actual flight scenarios of gravitational wave formations, a formation reconfiguration strategy based on continuous low thrust is investigated to achieve the desired state at a given time while minimizing interference to the satellite platform. The reconfiguration problem is considered a constrained nonlinear programming problem, and an improved particle swarm algorithm is developed to solve this problem. Finally, the simulation results demonstrate the performance of the proposed method in improving the maneuver sequence distribution and optimizing maneuver consumption.

show abstract

LISA: Heliocentric formation design for the laser interferometer space antenna mission

Cited by 26 publications

References 10 publications

Adapting time-delay interferometry for LISA data in frequency

Adapting time-delay interferometry for LISA data in frequency

Trusted Autonomous Operations of Distributed Satellite Systems Using Optical Sensors

Continuous Low-Thrust Maneuver Planning for Space Gravitational Wave Formation Reconfiguration Based on Improved Particle Swarm Optimization Algorithm

Contact Info

Product

Resources

About