Complex sensor algorithms necessary for many missions
Increased sensor digitization can result in improved performance and expanded capability for your military and commercial sensor systems. But utilizing the resulting large quantity of digitized data requires the development and evaluation of new algorithms.
With our recognized competence in sensors and systems and our agile corporate structure, Dynetics is well-equipped to design complex sensor algorithms to meet those needs.
These complex sensor algorithms are necessary for many missions, including ballistic missile defense; air defense; air-to-ground systems; border security; and intelligence, surveillance, and reconnaissance (ISR).
Complex sensor algorithms perform the following functions:
- Non-cooperative target recognition (NCTR) and Combat ID Track/feature fusion
- Decision fusion
- Raw data fusion (image, video, etc.)
The right mix of experts is required to design effective advanced sensor algorithms. Dynetics has extensive experience in the following disciplines:
- Sensor technologies
- Sensor modeling and performance assessment
- Signal and image processing
- Pattern recognition
- Parameter estimation
- Digital system design
- Hardware and software development
- Field test design and execution
Sensor modeling and performance estimation are key in the design of advanced algorithms. Dynetics has a particularly strong corporate background in sensor modeling and analysis and a large library of modeling tools.
You want a robust solution for your problem. Our broad sensor modeling background allows us to gain in-depth insight into the problem for which an algorithm is being designed... greatly enhancing the opportunity to find that robust solution.
- KILL ASSESSMENT
- HIGH-RESOLUTION WAVEFORMS
- TARGET DISCRIMINATION
- TARGET IDENTIFICATION
- AIR AND MISSILE DEFENSE RADAR SYSTEMS
- INFORMATION, SURVEILLANCE, AND RECONNAISSANCE SENSORS
- X-BAND ALGORITHM MODELING
- ACOUSTIC DISCRIMINANTS
- PERFORMANCE ANALYSIS INCLUDING RECEIVER OPERATING CURVES (ROCS) AND CONFUSION MATRICES
- AUTOMATIC TARGET DETECTION (ATD) ALGORITHMS
- AUTOMATIC AND AIDED TARGET RECOGNITION ALGORITHMS
Determining the Quality of Algorithms
An algorithm's quality is determined by testing with valid field test data, or data that is representative of the real sensor in a true operational environment, actually exercising the critical functionality of the algorithm under development. Ideally, these data come from the actual sensor system for which the algorithm is being developed, but that is not always possible.
Dynetics has developed one-of-a-kind data collection sensors for proving and refining sensor algorithms for use in cases where no sensor is available.
With Dynetics' comprehensive understanding of advanced sensor algorithms combined with our extensive experience and expertise in various military sensors, we have the capability to uniquely model, assess, and develop algorithms that promote warfighter success.