Zeng et al. (2026) Performance Superiority of Dual-Pair Cartwheel/Pendulum Over Bender-Type in Four-Satellite Gravity Constellations: An Equitable Evaluation

Identification

• Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
• Year: 2026
• Date: 2026-01-01
• Authors: Zhipeng Zeng, Jiangjun Ran, Zhengwen Yan, Natthachet Tangdamrongsub
• DOI: 10.1109/jstars.2026.3663481

Research Groups

[Not specified in the provided text.]

Short Summary

This paper conducts an equitable evaluation of four-satellite gravity constellations, demonstrating the performance superiority of dual-pair cartwheel/pendulum configurations over Bender-type designs.

Objective

• To perform an equitable evaluation comparing the performance of dual-pair cartwheel/pendulum and Bender-type four-satellite gravity constellations.
• To identify which of these constellation types exhibits superior performance for gravity measurement applications.

Study Configuration

• Spatial Scale: Global (implied by "gravity constellations").
• Temporal Scale: Not specified.

Methodology and Data

• Models used: Not specified in the provided text.
• Data sources: Not specified in the provided text.

Main Results

• The dual-pair cartwheel/pendulum constellation demonstrates superior performance compared to the Bender-type in four-satellite gravity constellations.

Contributions

• Establishes a framework for an equitable evaluation of different four-satellite gravity constellation designs.
• Identifies the dual-pair cartwheel/pendulum configuration as having superior performance over the Bender-type for gravity applications.

Funding

[Not specified in the provided text.]

Citation

@article{Zeng2026Performance,
  author = {Zeng, Zhipeng and Ran, Jiangjun and Yan, Zhengwen and Tangdamrongsub, Natthachet},
  title = {Performance Superiority of Dual-Pair Cartwheel/Pendulum Over Bender-Type in Four-Satellite Gravity Constellations: An Equitable Evaluation},
  journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
  year = {2026},
  doi = {10.1109/jstars.2026.3663481},
  url = {https://doi.org/10.1109/jstars.2026.3663481}
}