SBIR-STTR Award

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Advanced Techniques for Lossless Compression of Target Vehicle Telemetry
Award last edited on: 2/12/2015

Sponsored Program
SBIR
Awarding Agency
DOD : MDA
Total Award Amount
$1,052,507
Award Phase
2
Solicitation Topic Code
MDA12-012
Principal Investigator
Dunling Li

Company Information

Battlefield Telecommunications Systems (AKA: BTS LLC~BTS Software Solutions LLC )

6200 Old Dobbin Lane Suite 190
Columbia, MD 21045
   (443) 839-0122
   hello@unleashbts.com
   www.unleashbts.com
Location: Single
Congr. District: 03
County: Howard

Phase I

Contract Number: ----------
Start Date: ----    Completed: ----
Phase I year
2013
Phase I Amount
$99,526
An effective and efficient lossless compression algorithm allows additional telemetry and other data to be sent without using excess bandwidth. The proposed lossless compression approach combines real-time system design principles, traditional optimum lossless encoding, the latest research in multimedia compression methodologies, and advanced streaming technologies into the design architecture of the proposed compression algorithm. The proposed system is designed to be robust to transmission errors and security threats, easily portable across platforms and straightforward to adapt to parallel architectures. The implementation proposed is designed to be adaptable to a wide variety of DoD and commercial data sets, allowing for use beyond the specialized design parameters.

Keywords:
Loseless Compression, Lossless Video Codec, Telemetry, Bandwidth, Linear Prediction, Pcm, Encryption, Compression

Phase II

Contract Number: ----------
Start Date: ----    Completed: ----
Phase II year
2014
Phase II Amount
$952,981
Battlefield Telecommunications Systems proposes to build low delay low complexity lossless compression software framework and hardware prototype to be integrated in the telemetry system of a target vehicle test bed. The proposed compression algorithm is specially designed for target vehicle telemetry data, designed to reduce the dataset redundancy through the prediction by extracting the characteristics of telemetry data and intrinsic correlations among different measurements. The proposed approach combines real-time system design principles, traditional optimum lossless encoding, current multimedia compression methodologies, advanced digital signal process (DSP) technology and efficient telemetry data predication models into the software framework and hardware prototype architectures. The proposed system is designed to be robust to transmission errors and security threats, easily portable across platforms and straightforward to adapt to parallel architectures. Approved for Public Release 14-MDA-7739 (18 March 14).

Keywords:
Lossless Compression, Video Codec, Telemetry, Bandwidth, Linear Prediction, Pulse Code Modulation (Pcm), Encryption, Compression