Advanced Algorithms for RF Sensing Systems

ReScience develops signal-processing and estimation algorithms for RF sensing, detection and localization applications. Our expertise combines statistical signal processing, antenna-array and multichannel processing, modelling and simulation, and real-world data analysis.

We support the complete algorithm-development cycle, from mathematical modelling and prototyping to simulation, recorded-data analysis, performance evaluation and optimisation.

Our Capabilities

RF Signal Processing

  • RF signal detection and parameter estimation
  • Spectral and time-frequency analysis
  • Statistical signal processing
  • Feature extraction and classification
  • Performance analysis using simulated and recorded data

Direction Finding & Localization

  • Direction-of-arrival estimation
  • Antenna-array and multichannel processing
  • RF emitter localization
  • Array calibration and performance analysis
  • Statistical estimation methods

Airborne Signal Processing

ReScience develops and evaluates algorithms for airborne RF sensing systems, considering platform motion, changing geometry and operational constraints.

Our activities include:

  • Modelling and simulation
  • Synthetic and recorded flight-data analysis
  • Algorithm tuning and optimisation
  • Detection and localization performance assessment

Airborne RF Experience

Between 2022 and 2024, ReScience provided technical consultancy to the signal-processing and algorithm-development team of an industrial airborne RF signal detection and localization programme.

Activities included algorithm assessment and improvement, modelling and simulation, technical training, flight-test data analysis, performance evaluation and iterative optimisation.

Our Engineering Approach

We combine theoretical signal-processing expertise with simulation and experimental validation:

Modelling → Algorithm Development → Simulation → Real-Data Analysis → Performance Evaluation → Optimisation

We work closely with system developers and integration teams to adapt algorithms to sensor characteristics, platform constraints and operational requirements.

Application Areas

Our capabilities support applications including:

  • Airborne RF sensing
  • RF signal detection and localization
  • Direction-finding systems
  • Electronic-support and spectrum-monitoring systems
  • Distributed and cooperative sensing
  • Unmanned aerial sensing platforms
  • Radar and active RF sensing research

R&D Collaboration

ReScience collaborates with technology companies, system integrators and research organisations in algorithm development, modelling and simulation, data analysis, performance assessment, technical consultancy and experimental validation.