SSC has achieved an exceptional Commercialization Achievement Index (CAI) of 95%, for its continued success in maturing innovative research for the Department of Defense. This high rating means that SSC generates more follow on revenue from each Small Business Innovative Research (SBIR) Phase II contracts than 95% of the companies with similar sized research portfolios.
Signal Systems uses the Open UP process for software development, and regularly performs work in accordance with ISO 9000 requirements.
Currently, we have numerous projects underway, please use the navigation to look at the individual projects in detail.
Exploitation of Non-Traditional Scattering (NTS)
This project is improving multistatic Anti Submarine Warfare using new signal processing.
Full Field Scattering
This project is using advanced signal processing and Bayesian track-before-detect techniques to improve incoherent multistatic sonar.
Coherent Multistatic Active Sonar (CMAS)
We are studying advanced signal processing techniques useful
for coherent distributed sonars in this project.
Environmental Characterization using Tactical Sensors (ECTS)
Our smart microphone program is developing small, very low power acoustic sensor that can detect and pinpoint the directions of sounds.
Platform Noise Reduction (VAWS)
Acoustic Sensors for Robots
We have integrated acoustic sensors on a variety of autonomous robots. Reduction of platform noise using electronic cancellation is critical to this application
Collaborative Alliance Robotic Technology (CART)
Under the Collaborative Alliance for Robotic Technology, SSC is developing new acoustic perception technology. This advanced perception research will enable robotic vehicles to sense adversaries and obstacles automatically.
Active Noise Reduction Technologies (ANRT)
The devlopment of acoustic smart panels and quiet zone generation will enhance habitability on aircraft, and in high noise manufacturing areas. It will also enhance vehicle stealth applications.
Time Reversal Sonobuoy System
This project seeks to investigate the feasability of using time reversal acoustics in sonobuoy ASW systems.
Waveforms for Energy Constrained Multistatic Sonar (WECMS)
WECMS looks to develop energy efficient, broadband,
doppler-sensitive waveforms that provides good detection and high
clutter rejection. The waveforms will be used in all Doppler
Multi-Sensor Data Fusion
This project seeks to use both active and passive sonar to
increase clutter rejection preformance and
detections, and will also see the development of new strategies and
patterns by using Monte Carlo analysis.
Reliable Acoustic Path
Vertical Line Array
An optimized Iridium satellite link configuration enhances the
data flow and buoy power consumption.
Compact, Efficient Motor Controllers with Active Noise Cancellation
SSC will use a novel rafting concept that reduces the area authority of the Active Noise Cancellation solution. This approach is patented and demonstrated in the Smart Skin Demonstration (S2D) program. Mature algorithms provide a low risk path to a Phase I demonstration and a Phase II insertion. Benefits from this project include, flexibility in adapting and COTS controllers to severe space constraints from this rafting concept.
Coherent Active Sonar Waveform Analysis Using Pressure/Velocity Phase Comparison for Improved Detection and Classification
Existing Air ASW multistatic sonar search systems do not fully exploit all of the scattering information available in the acoustic field. This project seeks to further demonstrate that multistatic target echoes affect the acoustic field in a manner that allows one to differentiate target from non-target energy by using vector sensor quantities. During Phase I, we will examine target features using data from new vector sensor target scattering experiments that extends the work of previous research. We will use a signal subspace approach to develop new vector sensor algorithms that improve upon intensity based methods for the detection of forward scatter targets. In addition to the forward scatter cross range intensity phase anomaly feature, we will examine the potential of extracting cross range features in other geometrics. During Phase I, we will also reanalyze existing data sets from experiments that contain vector sensors and target scattering to show improved detection and classification performance. In this way, Signal Systems Corporation will demonstrate the proof of concept of new discrimination clues in scattering regimes that have high target strength and a current paucity of physics based features.