Acoustic Sensor Filtering & Radar Array Mathematics Unit
Developing mathematical frameworks for acoustic sensor arrays and radar systems to maximize detection and classification performance.
Research Mission
The Acoustic Sensor Filtering & Radar Array Mathematics Unit develops the mathematical foundations for acoustic sensor array processing and radar signal analysis — advancing beamforming, spatial filtering, target detection, and classification algorithms that maximize the performance of DARAS sensor systems. The unit applies array signal processing theory, statistical detection theory, and inverse problem methods to extract maximum information from acoustic and radar sensor arrays in complex, cluttered environments.
Key Research Functions
Array Processing
Developing adaptive beamforming and spatial filtering algorithms for acoustic and radar sensor arrays — maximizing signal-to-noise ratio, suppressing interference, and achieving high angular resolution for target detection and localization.
Detection Theory
Applying statistical detection theory to radar and acoustic sensor systems — designing optimal detectors, characterizing detection performance, and developing CFAR algorithms that maintain constant false alarm rates across varying clutter environments.
Target Classification
Developing target classification and recognition algorithms that identify and discriminate targets from clutter and countermeasures — applying machine learning and physics-based feature extraction to acoustic and radar signature analysis.
Research Capabilities
Directorate of Advanced Research & Applied Sciences
Join This Research Unit
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