Science and Technology

Science and Technology

The basis for deciBel Research work is the application of extensive scientific knowledge and mathematical skills with sound scientific criteria. This foundation allows deciBel to creatively develop advanced technology methods and advance innovative technology concepts. Detailed and in-depth understanding of the physics, mathematics and phenomenology of radar signals allows deciBel science and technology employees to see how they affect and impact the signature and measurement generation processes. deciBel employs scientists, engineers and mathematicians who have profound knowledge of the fundamental sensor construct and data processing capabilities and how they, in turn, capture and interpret the underlying targets and environments phenomenology and physics.  deciBel Research core Science and Technology expertise includes multi-frequency RF target phenomenology, advanced spectral estimation algorithms, advanced target motion algorithms, novel 2D and 3D imaging algorithms, and advanced fused, multisensor discrimination-based track algorithms, and innovative sensor construct designs.

Target Attribute Determination Algorithm

deciBel's Target Attributes Surface Manifold (dBTASM) classifer provides an innovative, extremely effective classification method based on surface manifold techniques. dBTASM can provide radar systems with faster and more accurate classification decisions resulting in better utilization of planning, collection, and analysis assets. Unlike widely used Bayesian classifiers, dBTASM is not based on extracting scenario dependent target features (SNR, geometry, or timelines) and the design of the classifiers based on these features. dBTASM exploits the constant target physical attributes and their relationships across all possible viewing geometries with representative manifolds. The classification is realized by matching pulse returns, in a least square, maximum-likelihood sense, to a specific curve in the manifold.

Comprehensive Design-to-Capability (DtC) testing guided the performance, maturation, and enhancement of the tactical baseline dBTASM classifier. DtC testing provides parametric evaluation of an algorithm's performance over a complete, wide range of scenario variations, including threat, scenario, sensor, and algorithm parameter variations. Over the course of this task, more than one million test runs have been completed, analyzed, and presented. deciBel is currently investigating further DoD and commercial applications of the dBTASM methods, particularly the application of these algorithms to perform wide area imagery exploitation.

Electromagnetic Signature Modeling and Interpretation

deciBel employs recognized world-class experts in the area of electromagnetic theory and computational electromagnetics. By understanding electromagnetic phenomena, dB is able to generate highly-detailed radar signature data, model complex three-dimensional radiation and scattering problems, and design and implement ultra-high performance electromagnetic simulation codes. deciBel’s knowledge is further exploited in the analysis and interpretation of radar flight test data and in the development of advanced algorithms based on such analysis results.

Innovative Beamforming and Waveform Design

deciBel’s world-class radar designers and mathematicians are actively developing and exploiting new and potentially “game-changing” Beamforming methods and unique waveforms that permit the development of new and powerful object detection and characterization algorithm, as well as the implementation of new counter-countermeasure algorithms.