dsfb-lcss-hret-0.1.0 is not a library.

dsfb-lcss-hret

IEEE L-CSS figure generation for DSFB high-rate estimation trust analysis.

Description

This crate generates benchmark data and publication-ready figures for an IEEE L-CSS (Letters of Control Systems Society) submission. It implements high-rate estimation trust analysis experiments for the Drift-Slew Fusion Bootstrap (DSFB) algorithm, comparing performance across different estimation methods with varying parameter configurations.

Key Features

Standalone benchmarking: Independent CLI tool for running experiments
Monte Carlo simulations: Configurable number of runs for statistical analysis
Parameter sweep: Systematic exploration of algorithm parameters
CSV output: Structured data for reproducible figure generation
IEEE-formatted figures: Colab notebook for publication-ready visualizations

Building and Running

This is a standalone crate that compiles independently:

# Build the crate
cargo build --release --manifest-path crates/dsfb-lcss-hret/Cargo.toml

# Run with default benchmark
cargo run --release --manifest-path crates/dsfb-lcss-hret/Cargo.toml -- --run-default

# Run parameter sweep
cargo run --release --manifest-path crates/dsfb-lcss-hret/Cargo.toml -- --run-sweep

# Customize parameters
cargo run --release --manifest-path crates/dsfb-lcss-hret/Cargo.toml -- \
  --run-default \
  --num-runs 500 \
  --time-steps 2000 \
  --seed 123 \
  --output my-output-dir

Output

The tool generates timestamped directories under output-dsfb-lcss-hret/ (or the specified output directory) containing:

summary.csv - Aggregate statistics for different estimation methods
trajectories.csv - Time-series data for state estimates
heatmap.csv - Parameter sweep results for visualization

Plotting

Use the companion Jupyter/Colab notebook to generate publication-ready figures from the benchmark outputs:

Google Colab (recommended):

Local Jupyter:

jupyter notebook crates/dsfb-lcss-hret/dsfb_lcss_hret_figures.ipynb

The notebook generates three IEEE-formatted figures:

Figure 1: Method comparison bar chart with error bars
Figure 2: State estimation trajectory and error plots
Figure 3: Parameter sweep heatmap

All figures are saved as both PDF (for publication) and PNG (for preview) at 300 DPI with IEEE single-column formatting (3.5" width).

Related Crates

This crate is part of the DSFB (Drift-Slew Fusion Bootstrap) repository:

dsfb - Core DSFB estimator implementation
dsfb-fusion-bench - Fusion diagnostics benchmarking tool

Citation

If you use this work in your research, please cite:

@software{dsfb2026,
  author = {de Beer, Riaan},
  title = {DSFB: Drift-Slew Fusion Bootstrap},
  year = {2026},
  url = {https://github.com/infinityabundance/dsfb}
}

License

Apache-2.0

dsfb-lcss-hret 0.1.0