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Improved Target Discrimination of Multiple Targets Using Bulk Filtering for…

Award Information

Department of Defense
Award ID:
Program Year/Program:
2013 / SBIR
Agency Tracking Number:
Solicitation Year:
Solicitation Topic Code:
Solicitation Number:
Small Business Information
Wavelet Technologies, Inc.
664 Pike Avenue Attleboro, MA -
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Phase 1
Fiscal Year: 2013
Title: Improved Target Discrimination of Multiple Targets Using Bulk Filtering for Debris
Agency: DOD
Contract: HQ0147-13-C-7524
Award Amount: $99,217.00


Wavelet Technologies, Inc. (WTI) proposes development of algorithms that process radar returns from dense threat complexes and attempt to discriminate between actual threats, countermeasures, and incidental debris generated from the rocket motor burnout and associated events. We term these objects collectively a Low Relative Velocity (LRV) debris field, in which the threat is embedded. Because practical radars cannot resolve objects in the LRV debris field, algorithms must operate only on range and Doppler data for determining the radar track. We propose to use expectation maximization (EM) algorithm that work on this basis to derive suitable object tracks without rejecting tracks for threats because a strict rejection threshold for tracks is not employed. These tracks will then be processed using a Bayesian classifier or a kernel Bayesian classifier to discriminate between threats and other objects in the LRV debris field. Simulations of this process will be conducted in Phase I using NASA"s orbital debris evolution program on modeled LRV debris. Radar observations will be taken at several simulated sites and combined in the tracking program to address data acquisition from multiple radar platforms.

Principal Investigator:

Robert Hohlfeld
Chief Scientist
(508) 222-6676

Business Contact:

Kathleen Hohlfeld
(508) 222-6676
Small Business Information at Submission:

Wavelet Technologies, Inc.
664 Pike Avenue Attleboro, MA -

EIN/Tax ID: 043265424
Number of Employees:
Woman-Owned: Yes
Minority-Owned: No
HUBZone-Owned: No