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Projects

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.

 
SSC maintains DoD approved accounting and material management systems, which gives all of our customers the assurance that our financial management of engineering projects is accurate and timely.

 

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.


Continuous Active Sonar (CAS)


This project offers a low-power sonar system without disrupting the enviroment and maintaining the same quality as current sonar systems.




Environmental Characterization using Tactical Sensors (ECTS)



This project is studying methods to improve sonar performance using environmental measurements with the same sensors used for target search.



Smart Microphone

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)


We are the world's leader in the development of vehicle acoustic warning and surveillance (VAWS) technology and prototypes for Army Future Combat Systems. Electronic cancellation techniques are critical to this application.


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
conditions.


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.