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Wavelet-Based Approach for Signal Processing and Analysis

Award Information
Agency: Department of Defense
Branch: Office for Chemical and Biological Defense
Contract: W911SR-21-C-0002
Agency Tracking Number: C2S-0002
Amount: $599,983.22
Phase: Phase II
Program: SBIR
Solicitation Topic Code: CBD152-006
Solicitation Number: 15.2
Timeline
Solicitation Year: 2015
Award Year: 2021
Award Start Date (Proposal Award Date): 2020-11-18
Award End Date (Contract End Date): 2021-11-19
Small Business Information
1845 West 205th Street
Torrance, CA 90501-1510
United States
DUNS: 153865951
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Prachee Sharma
 (310) 320-3088
 ISProposals@poc.com
Business Contact
 Keith Baker
Phone: (310) 320-3088
Email: contracts@poc.com
Research Institution
N/A
Abstract

To respond to the U.S. military requirement for new tools to provide early warning on the existence of chemical/biological contamination in the battlefield, Physical Optics Corporation (POC) proposes to further develop Plume Analysis and Classification for Early Warning (PEACE). PEACE is designed to process LIDAR detection of plume clouds and extract key information by determining the plume’s content and estimating the method used to release chemical/biological contaminants in the environment. PEACE uses machine learning (ML) and artificial intelligence (AI) algorithms to detect contaminant material type and release method. ML/AI algorithms classify the plumes into a set of known contaminants and compute the confidence levels for the classification results. PEACE improves the classification accuracy by selecting ML/AI algorithm parameters (such as number of distinguishable classes of contaminants) that are sensitive to ambient conditions and fine-tuned to contaminant(s) of interest. Under this Sequential Phase II project, the PEACE algorithms successfully developed during Phase II project WASP will be matured further by refining the ML/AI algorithms, incorporating a standard modular Common CBRN Sensor Interface (CCSI)-compliant framework, and demonstrating performance improvements by using an extensive set of data. PEACE is designed for eventual integration with a Stryker sensor suite.

* Information listed above is at the time of submission. *

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