Radar Signal Processing Improvements for Probability of Detection
This grant provides funding for small businesses to develop innovative radar signal processing techniques that improve detection capabilities for military applications, while also exploring potential uses in commercial sectors like drone detection and healthcare.
Description
The funding opportunity detailed in the document titled "A25D-001: Radar Signal Processing Improvements for Probability of Detection" is part of the Small Business Innovation Research (SBIR) program. This program is designed to promote technological innovation among small businesses, with a focus on advanced and novel technologies that can be integrated into military applications. The primary objective of this specific opportunity is to address challenges in ground-based radar systems used by the Army, particularly their inability to meet detection needs of evolving longer-range threat systems without sacrificing scan times.
The need for improvement in radar detection capabilities is particularly relevant as radar systems today are struggling to meet the increasing range of potential threats. The Army seeks solutions in the form of innovative signal processing techniques that can enhance the radar's probability of detection at longer ranges, without negatively affecting the radar’s current scan time. This opportunity encourages the development of advanced algorithms and signal processing methods to overcome these limitations. Successful proposals will need to demonstrate how these improvements can be implemented on existing radar systems.
The funding is structured in two phases. Phase I provides a budget of up to $250,000 for a six-month performance period. The focus during this phase is on a feasibility study, using laboratory simulation tools such as MATLAB to analyze possible signal processing techniques. Proposals should include a detailed report that outlines the study, a test plan, and test results, with metrics showing the potential improvement in radar detection capabilities. This phase aims to validate the feasibility of proposed techniques and their potential for real-world implementation.
Phase II of the project will involve the maturation of the signal processing techniques evaluated in Phase I. The techniques should be integrated into a high-fidelity radar modeling tool and matured to a Technology Readiness Level (TRL) of 5 or above. The goal is to integrate these techniques into a government-owned System Integration Lab (SIL) and prepare them for transition into a Science and Technology (S&T) program. This phase emphasizes the practical application of the developed solutions in a more realistic simulation environment.
The program also recognizes the potential for dual-use applications in industries beyond defense. The technologies developed under this grant could benefit areas such as drone and UAV detection, weather monitoring (especially with MIMO radars for storm tracking), and healthcare (via radar for remote monitoring of vital signs). The proliferation of commercial drones and the need for more advanced signal processing in various sectors provide ample opportunities for the application of these radar advancements.