CHANGELOG.md

Changelog

All notable changes to phased-array-systems will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

Unreleased

0.6.0 - 2026-03-21

Added

• Design optimization module (trades/optimization.py) with optimize_design() using scipy solvers
• OptimizationResult dataclass with best architecture, metrics, convergence info, and optional history
• Three solver backends: differential_evolution, dual_annealing, minimize (L-BFGS-B)
• Weighted multi-objective scalarization and requirement-based constraint penalties
• CLI pasys optimize command with --objective, --sense, --method, --max-iter options
• Unit tests for RF cascade models (test_rf_cascade.py): Friis NF, IIP3/OIP3, SFDR, MDS, cascade analysis
• Unit tests for digital models (test_digital.py): converters, bandwidth, beamformer ops, scheduling
• Optimization tests (test_optimization.py): single/multi-objective, constraints, integer vars, CLI E2E
• Example script 05_optimization.py: DOE baseline vs optimizer comparison

0.5.0 - 2026-03-21

Added

• Digital beamformer integration: DigitalConfig for ADC ENOB, data rate, and FPGA processing margin
• Radar YAML configs: radar_basic.yaml and radar_doe.yaml examples
• CLI end-to-end tests for run, doe, report, pareto, and sensitivity commands
• I/O round-trip tests for Parquet, CSV, and JSON export/import
• Digital metrics in reports (HTML and Markdown): adc_enob, bf_data_rate_gbps, processing_margin_db

Fixed

• CLI pasys doe command: was reading nonexistent config.design_space instead of config.doe
• CLI pasys sensitivity command: same design_space bug, now reads DOE variables correctly

0.4.0 - 2026-02-01

Added

• Digital array model for digital beamforming calculations
• RF cascade model for noise figure and gain cascade analysis
• Comprehensive documentation site with MkDocs Material
• API reference with mkdocstrings
• User guides for all major features
• Tutorials for communications and radar trade studies
• Theory documentation for phased arrays and link budgets

Fixed

• Ruff linting errors in models module
• MathJax rendering in documentation
• Markdown list formatting in documentation

0.3.0 - 2024-01-15

Added

• Radar detection model with pulse integration
• RadarDetectionScenario for radar trade studies
• Radar equation calculator with Swerling models
• Detection probability and false alarm rate computations
• CLI commands: pasys run, pasys doe, pasys report, pasys pareto
• HTML and Markdown report generation
• Example: 03_radar_detection_trade.py

Changed

• Improved Pareto extraction algorithm efficiency
• Enhanced visualization with 3D trade space plots

Fixed

• Hypervolume calculation for 3+ objectives

0.2.0 - 2024-01-01

Added

• Design of Experiments (DOE) generation with LHS, random, and grid methods
• BatchRunner for parallel evaluation with progress tracking
• Pareto frontier extraction and ranking (weighted sum, TOPSIS)
• Scatter matrix visualization
• Parquet and CSV export functionality
• Requirements verification with pass/fail and margins
• DesignSpace for defining variable bounds and types

Changed

• Refactored architecture configuration to use Pydantic v2
• Improved error handling for batch evaluation

Fixed

• Array gain calculation for non-square arrays
• Case ID generation collision in augmented DOE

0.1.0 - 2023-12-15

Added

• Initial release
• Architecture configuration: ArrayConfig, RFChainConfig, CostConfig
• CommsLinkScenario for communications link analysis
• Communications link budget model (CommsLinkModel)
• Free space path loss propagation model
• Power and cost models for SWaP-C analysis
• Requirement and RequirementSet for requirements management
• Pareto plot visualization
• YAML/JSON configuration loading
• Example: 01_comms_single_case.py
• Example: 02_comms_doe_trade.py
• Tutorial Jupyter notebook

Dependencies

• Requires phased-array-modeling>=1.2.0
• Python 3.10+