Gordon, Salmond and Smith: bootstrap filter for nonlinear state estimation

What changed

Presented the bootstrap particle filter for recursive state-density approximation by resampled simulations.

Scientific scope

The record is the exact three-author 1993 IEE paper and the algorithm under its stated state-space assumptions. It does not absorb all later particle-filter variants, convergence theory or application-specific systems.

Evidence

The linked sources identify this contribution and its scope. WRS has not independently reconstructed the scientific claims. The record is the exact three-author 1993 IEE paper and the algorithm under its stated state-space assumptions. It does not absorb all later particle-filter variants, convergence theory or application-specific systems.

Contributors

• Neil J. Gordon · SCIENCE: Named source author of the scoped work; individual effort shares are not measured.
• David J. Salmond · SCIENCE: Named source author of the scoped work; individual effort shares are not measured.
• Adrian F. M. Smith · SCIENCE: Named source author of the scoped work; individual effort shares are not measured.

• INRIA-hosted full text of Gordon, Salmond and Smith 1993

Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.

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