A quality and engineering governance concept defining controls used to plan, verify, and maintain compliant product development and production. It governs requirements capture, process control, documentation, and objective evidence used to demonstrate conformity to defined standards. It does not substitute for technical performance and requires rigorous execution and traceable records to be effective. It materially affects safety, reliability, and manufacturability by reducing variation and improving defect prevention and detection. The concept is generally stable, though standards and accepted methods are revised as technology and industry practices evolve over time.

Principle

Use independent data, representative uncertainty models, and repeatable scenarios to show the algorithm and implementation produce results consistent with the physical system and stated accuracy requirements.

Demonstration

Run a suite of Monte Carlo simulations combining sensor noise models, maneuver profiles, and force-model mismodeling; process blind test data from an independent tracker; and show that estimated position and covariance statistics meet stated bounds across mission-relevant conditions.

Misapplication

Treating a single nominal scenario or a single successful run as proof of general validity, or validating only against data produced by the same software under test, which masks implementation or model errors.

Consequence

Produces documented evidence that the orbit determination product is suitable for operational decisions or science analysis, reduces risk of on-orbit maneuver misestimation, and supports certification or mission acceptance.

Reversal

If reversed, the process becomes unvalidated or assumed-correct operation, where decisions are made without independent checks and results are trusted solely on implementation provenance.

Boundary

Covers algorithms, input models, software implementations, and representative operational data. It excludes unrelated mission subsystems such as attitude control hardware qualification or higher-level mission design trade studies.

Semantic Tension

Often confused with verification; validation focuses on fitness-for-purpose against real-world behavior while verification checks conformance to specified design or code requirements.

Synthesis

A Validation Protocol ties independent tests, representative scenarios, and statistical evaluation together to prove an orbit determination solution accurately represents operational reality for its intended use.