Award Data

TSC"s response to this Small Business Innovation Research (SBIR) topic demonstrates novel and innovative algorithms to fully address the objectives of this requirement. Our solution provides an adaptable approach that balances flexibility to include multiple sensor and engagement assets and the flexibility to apply the required level of fidelity to optimize BMD asset placement in a dynamic enviro ...

In ballistic missile defense (BMD), sensor placement and sensor-to-target assignment are daunting tasks; even one missed threat has devastating consequences. The Missile Defense Agency (MDA) seeks innovative algorithms for sensor coordination that recommend placement and response options in near-real time to provide maximum coverage against multiple BMD threats using a minimum number of land and s ...

Deriving optimal positioning solutions for a hybrid Aegis Ballistic Missile Defense (BMD) system comprised of both land-based and sea-based assets poses daunting theoretical and practical challenges. The Scientific Systems Company Inc. team proposes to develop Ship Operating Area Adaptive Planning (SOAAP) algorithms that will include highly effective hybrid Aegis BMD models and methods for derivin ...

The objective of this effort is to develop signal waveform characteristics and processing algorithms that will deduce sensor-invariant attributes of a tracked object so that it can be classified, discriminated and evaluated for engagement. Under our proposed effort, we will develop enhanced radio frequency (RF) signal waveforms and associated processing algorithms, using a physics-based approach, ...

3G and 4G mobile communications systems pose significant interference threats to the AN/SPY-1 operability ashore and in littoral environments. The specific frequency bands at which such interference sources may appear vary with geographic locations across the world. Adaptive array based techniques are not attractive in relation to the AN/SPY-1 radar because they require major upgrades to the radar ...

The objective of the proposed research project is to develop novel algorithms and signal processing techniques that will minimize Aegis-to-3G & 4G and 3G & 4G-to-Aegis interference. We will perform an investigation and research of new RF waveform characteristics that could enhance Aegis BMD coexistence with civilian 3G and 4G communication networks. Under this effort, we will design innovative R ...

We propose to apply a proprietary discrimination technique rooted in the manifold learning literature to discrimination of object type through radar and through electro-optical/infrared sensors, and to use the features computed by this technique to help correlate tracks between sensors. Our discrimination technique is data-type agnostic, meaning that we can apply the same basic algorithm in both ...

To maintain a complete, timely and coherent situational awareness picture, missile defense command and control functionality typically requires information to be integrated from a variety of different semi-autonomous sensors tracking the battle from different viewing geometries. These sensors, whether EO/IR or RF, typically each develop their own internal tracks upon objects within the scene, whic ...

Billions of dollars have been invested by the United State to acquire the most technologically advanced military hardware in history, and, thereby provide battlefield advantages to military personnel. Protection of our sophisticated weapons systems and their components is critical for the continued maintenance of our technological advantages. Detecting and counteracting the newest methods of rever ...

To provide the Armed Forces with accurate lethality assessments for fielded munitions, warhead characterization is performed in ground based arena and sled testing. The current procedures are time consuming and costly, while only producing a fraction of the desired data. In the current method, the device under test is surrounded by switch screens to record fragment impact time and bundles of foam ...