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Company Information:

Name: Signal Innovations Group, Inc.
Address: 4721 Emperor Blvd.
Suite 330
Durham, NC
Located in HUBZone: No
Woman-Owned: No
Minority-Owned: No
Phone: (919) 794-3322

Award Totals:

Program/Phase Award Amount ($) Number of Awards
SBIR Phase I $1,264,843.00 12
SBIR Phase II $6,560,742.00 8

Award List:

Database Expansion Issues

Award Year / Program / Phase: 2005 / SBIR / Phase I
Agency / Branch: DOD / USAF
Principal Investigator: Paul Runkle, CEO
Award Amount: $99,042.00
Abstract:
Software tools will be developed that define the underlying phenomenology of greatest importance to radar CID performance, allowing a trace back to the responsible target scattering physics. The proposed research entails development of algorithms that identify the target-sensor orientations (poses)… More

Sensor Exploitation by Adaptive/Learning Systems (SEALS)

Award Year / Program / Phase: 2005 / SBIR / Phase I
Agency / Branch: DOD / USAF
Principal Investigator: Paul Runkle, CEO
Award Amount: $99,998.00
Abstract:
Information-exploitation algorithms are proposed for Air Force sensing and weapons systems, motivated by the inevitable variability and differences seen between conventional training and testing data. Adaptive feedback is proposed, yielding an active-learning framework, wherein the algorithm… More

Sensor Exploitation by Adaptive/Learning Systems (SEALS)

Award Year / Program / Phase: 2006 / SBIR / Phase II
Agency / Branch: DOD / USAF
Principal Investigator: Paul Runkle, COO/President
Award Amount: $750,000.00
Abstract:
Signal Innovations Group (SIG) and its Fast Track partner, Integrian (www.integrian.com), propose development of an adaptive video sensing system, with a focus on intelligence, surveillance, and reconnaissance (ISR). The proposed adaptive system is applicable for ISR in general environments,… More

Database Expansion Issues

Award Year / Program / Phase: 2006 / SBIR / Phase II
Agency / Branch: DOD / USAF
Principal Investigator: Paul Runkle, CEO/Director of Engineeri
Award Amount: $745,943.00
Abstract:
State-of-the-art radar combat ID (CID) must address target identification in complex environments, often with very limited measured training data. Consequently, the algorithms frequently rely on data computed via numerical models, as a function of required sensor conditions (bandwidth,… More

Signal Processing and Exploitation for High-Dimensional Synthetic Aperture Radar (SAR)

Award Year / Program / Phase: 2006 / SBIR / Phase I
Agency / Branch: DOD / USAF
Principal Investigator: Paul Runkle, Chief Executive Officer
Award Amount: $99,980.00
Abstract:
We seek to address limitations of conventional 2D SAR imaging by investigating a new class of 3D imaging techniques that exploit the complicated non-planar relative rotation between a target and radar system. The proposed technique builds upon fundamental work on invariants from range-dependent… More

Efficiently Computing and/or Compensating for Object Variability in Automatic Target Recognition (ATR) Applications

Award Year / Program / Phase: 2007 / SBIR / Phase I
Agency / Branch: DOD / USAF
Principal Investigator: Jonathan Woodworth, Principal Engineer II
Award Amount: $99,866.00
Abstract:
There are numerous targets of interest to the Air Force that may be manifested in many different forms. For example, many ground targets may be configured with or without particular subcomponents, and such subcomponents may also be situated in different locations on a given target. Moreover, the… More

Efficiently Computing and/or Compensating for Object Variability in Automatic Target Recognition (ATR) Applications

Award Year / Program / Phase: 2008 / SBIR / Phase II
Agency / Branch: DOD / USAF
Principal Investigator: Felix Lu, Vice-President
Award Amount: $741,212.00
Abstract:
A research program is proposed on the integration of signal processing and electromagnetic modeling, to address the problem of performing ATR with targets possessing a high degree of variability. Sparseness is employed from two perspectives. First, in the signal processing component, sparse… More

In situ learning for underwater object recognition

Award Year / Program / Phase: 2009 / SBIR / Phase I
Agency / Branch: DOD / NAVY
Principal Investigator: Patrick Rabenold, Principal Engineer
Award Amount: $69,934.00
Abstract:
We propose a principled in situ learning framework that is appropriate for a Bayesian classifier implemented with semi-supervised and multi-task learning. We will investigate several different forms of in situ learning, and will perform testing on measured data to help define which is most… More

CONTEXT-DRIVEN LANDMINE DETECTION USING SEMI-SUPERVISED MULTI-TASK LEARNING

Award Year / Program / Phase: 2010 / SBIR / Phase I
Agency / Branch: DOD / ARMY
Principal Investigator: Levi Kennedy, Vice President of Engineering
Award Amount: $69,982.00
Abstract:
The proliferation of landmines continues to be a problem of worldwide humanitarian urgency. While airborne sensors have demonstrated significant utility in covering a wide area at a high stand-off distance, the variety of deployment methods, environments, mine types, and operating conditions… More

Exploiting Multipath for Efficient Target Classification

Award Year / Program / Phase: 2010 / SBIR / Phase I
Agency / Branch: DOD / NAVY
Principal Investigator: James Baxter, Engineer 4
Award Amount: $79,796.00
Abstract:
Automatic target recognition(ATR) for tactical military targets is a very challenging problem, particularly when the number of observed aspects of a target is subject to the operational constraints of the sensor platform. When the target is situated in the presence of a complicated background… More

In situ learning for underwater object recognition

Award Year / Program / Phase: 2010 / SBIR / Phase II
Agency: DOD
Principal Investigator: Patrick Rabenold, ENG 3 – (919) 323-3452
Award Amount: $1,453,945.00
Abstract:
In the proposed Phase II program, the methods developed and implemented during Phase I research will be fully integrated within a common Bayesian in situ learning framework. We have developed several Bayesian classifiers, to which we will apply label acquisition and label confidence techniques.… More

Signal Processing and Exploitation for High-Dimensional Synthetic Aperture Radar (SAR)

Award Year / Program / Phase: 2010 / SBIR / Phase II
Agency / Branch: DOD / USAF
Principal Investigator: Paul Runkle, President
Award Amount: $746,065.00
Abstract:
A probabilistic ATR framework is proposed to exploit coincident multi-aspect radar and EO video data for target detection, tracking, and classification/identification. The mathematical framework is constituted by four principal components with a particular focus on exploitation of 3D information… More

Performance Prediction of Feature Aided Trackers using Persistent Sensors

Award Year / Program / Phase: 2011 / SBIR / Phase I
Agency: DOD
Principal Investigator: Jonathan Woodworth, Vice President/Engineer 5 – (919) 323-3450
Award Amount: $97,310.00
Abstract:
The proposed Phase I program will develop a Bayesian framework for modeling and predicting track uncertainty and performance as a function of OCs and integrate this framework with algorithms for tracking vehicles in WAMI. The proposed Performance and Uncertainty Modeling and Prediction for Tracking… More

Detection, Tracking, and Classification of Dismounts

Award Year / Program / Phase: 2011 / SBIR / Phase I
Agency: DOD
Principal Investigator: Chris Lunsford, Engineering Technical Lead – (919) 323-3407
Award Amount: $99,285.00
Abstract:
Situational awareness is paramount when conducting operations in potentially hostile terrain. Vehicle operators must focus on multiple tasks simultaneously: navigation, collision avoidance, location of possible IED threats, and identification of dismount threats. Fatigue and distractions affect… More

CONTEXT-DRIVEN LANDMINE DETECTION USING SEMI-SUPERVISED MULTI-TASK LEARNING

Award Year / Program / Phase: 2011 / SBIR / Phase II
Agency: DOD
Principal Investigator: Levi Kennedy, Engineer 5 – (919) 323-3456
Award Amount: $773,820.00
Abstract:
Fully automated approaches to target detection are efficient at processing large amounts of data but often rely heavily on the training data and the model employed. Training data and modeling assumptions can be violated in the operational environments where the algorithms are applied. Alternatively,… More

High Range Resolution (HRR)-Surrogate SAR Target Identification

Award Year / Program / Phase: 2012 / SBIR / Phase I
Agency: DOD
Principal Investigator: Jim Baxter, Engineer 4 – (919) 323-3453
Award Amount: $149,940.00
Abstract:
ABSTRACT: The Air Force has invested considerable resources into collecting and synthesizing radar data for training and testing ATC/R systems. Significant cost savings may be realized if these existing datasets may be leveraged for training new sensors and modalities. Signal Innovations Group… More

Interactive Generative Manifold Learning

Award Year / Program / Phase: 2013 / SBIR / Phase I
Agency: DOD
Principal Investigator: Patrick Rabenold, Engineer 4 – (919) 323-3452
Award Amount: $149,903.00
Abstract:
Signal Innovations Group proposes a hierarchical Bayesian approach for non-linear dimensionality reduction that addresses three key challenges: learning a reversible mapping from a high-dimensional observed space to a low-dimensional embedded space, learning the dimension of the embedded space, and… More

Detection, Tracking, and Classification of Dismounts

Award Year / Program / Phase: 2013 / SBIR / Phase II
Agency: DOD
Principal Investigator: Mark Kolba, ENG 3 – (919) 794-3750
Award Amount: $599,960.00
Abstract:
The detection and tracking of dismounts and the identification of threatening dismounts are critical challenges for ensuring mission success and troop safety when conducting tactical vehicle operations in hostile environments. Vehicle operators must focus on multiple tasks simultaneously: … More

New Radar Exploitation Methods for Combat Identification

Award Year / Program / Phase: 2013 / SBIR / Phase I
Agency: DOD
Principal Investigator: James Baxter, Principal Engineer – (919) 323-3453
Award Amount: $149,807.00
Abstract:
ABSTRACT: Current automatic target recognition (ATR) training processes require expensive data collections or extensive, high fidelity target modeling and validation whose costs and lead times will limit the ongoing sustainability of ATR target databases. Radar based systems for combat… More

High Range Resolution (HRR)-Surrogate SAR Target Identification

Award Year / Program / Phase: 2013 / SBIR / Phase II
Agency / Branch: DOD / USAF
Principal Investigator: Jim Baxter, ENGINEER 4 – (919) 323-3453
Award Amount: $749,797.00
Abstract:
ABSTRACT: This program will develop salient feature analysis and saliency cueing capabilities for SAR-based exploitation and demonstrate this technology with operationally relevant data and classifiers. This saliency technology will immediately enable the development of exploitable, robust,… More