Volumetric Orbital Encounter Probability Calculation

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Current satellite tracking systems cannot accurately determine long-term collision risks due to uncertainties in positional knowledge and in-track positions of satellites, and volumetric methods using Monte Carlo sampling become computationally burdensome for small encounter volumes.

Innovation Solution

A volumetric approach is introduced to calculate encounter probabilities by rotating a volumetric shape along a satellite's orbit to determine nodal crossings and incremental mean anomalies, allowing for rapid assessment of encounter probabilities even for small volumes, with a five-orders-of-magnitude runtime improvement over Monte Carlo methods.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If Monte Carlo sampling methods are used to assess encounter probabilities, then measurement precision is improved, but productivity deteriorates due to computational burden

Engineering Contradiction:
Improveencounter probability assessment accuracyVSAvoidcomputational efficiency
Core Design Contradiction:
Measurement precisionVSProductivity

Solution Approach 1:

The patent replaces the Monte Carlo sampling method (a computational/numerical approach) with an analytical closed-form solution. The analytical method uses mathematical formulas to directly calculate encounter probabilities based on orbital elements and encounter geometry, eliminating the need for repeated random sampling simulations. This substitution provides exact results without computational iteration, achieving both high precision and computational efficiency.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Measurement precision

If volumetric methods are applied to small encounter volumes, then measurement precision is improved, but device complexity increases due to computational burden

Engineering Contradiction:
Improveencounter probability assessment accuracyVSAvoidcomputational complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent replaces complex volumetric integration methods with a simplified analytical approach. By deriving closed-form expressions for encounter probability that directly incorporate volumetric considerations, the method achieves precise assessment for small encounter volumes without requiring complex numerical integration or iterative computational procedures.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

3Reliability

If long-term collision risks are assessed using current tracking systems, then reliability is improved, but productivity deteriorates due to positional uncertainties

Engineering Contradiction:
Improvecollision risk assessment reliabilityVSAvoidassessment speed
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The patent performs preliminary calculations of encounter geometry and probability using current orbital elements before propagation. By establishing closed-form expressions that account for positional uncertainties in advance, the method enables rapid long-term risk assessment without requiring repeated detailed simulations at each time step, thus improving both reliability and productivity.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS10293959B2Probability and frequency of orbital encounters
Publication Date: 2019.05.21 ANSYS GOVERNMENT INITIATIVES INC
  • US10293959B2 patent drawing
  • US10293959B2 patent drawing
  • US10293959B2 patent drawing

AI summary

Systems, methods, devices, and non-transitory media of the various embodiments provide for a volumetric approach to determining orbital encounters that may determine the number of encounters over a specified length of time. Such information may be used to determine how often during an orbit or period of time an object might trigger a conjunction warning for a neighboring satellite. The various embodiments may be used as a planning and characterization tool to estimate satellite encounter rates for a prospective orbit regime and may provide an efficient, in-line approach to assess the number of encounters occurring within a user-specified span of time.