Ocean Systems Engineering Corporation (O

2141 Palomar Airport Road Suite 200
Carlsbad, CA 92009
http://www.osec.com
300 Employees

SBIR Award Summary

Total Number of Awards 9
Total Value of Awards $3.16MM
First Award Date 08/02/02
Most Recent Award Date 05/05/06

Key Personnel

Last Name Name Awards Contact
Henson Mr. Michael Henson 2 Message
Garber Mr. Ken Garber 1 Message
Calderwood Mr. Bill Calderwood 2 Message
Armstrong Mr. Carl Armstrong 3 Message
Wilgenbusch Mr. Craig Wilgenbusch 1 Message

9 Awards Won

Phase 1 SBIR

Agency: Navy
Topic: N06-087
Budget: 05/05/06 - 07/31/06

DoD is moving quickly toward Network Centric Warfare and distributed enterprise services provided via Service Oriented Architectures (SOA) as a means of providing Net-Centric capabilities and front end sensor networking. Some early candidates have already emerged that are capable of providing many of the required services and performance. Numero...

Phase 1 SBIR

Agency: Navy
Topic: N06-092
Budget: 05/05/06 - 07/31/06

The Navy requires development of enabling technologies that can significantly extend the range of 802.11 Wireless Fidelity (Wi-Fi) for the maritime environment. By adapting high sensitivity cryogenically cooled electronics, the superior interference rejection of high temperature superconducting (HTS) band-pass and notch filters, along with the ...

Phase 2 SBIR

Agency: Army
Topic: A04-060
Budget: 03/22/06 - 03/22/08

Ocean Systems Engineering Corporation (OSEC) continues its development of Improvised Explosive Devices (IED) Neutralization and Detection (INDET) for detecting and neutralizing roadside bombs, munitions and other explosive devices. This Phase II project advances the identification and analysis of specific technologies, methods, and devices that...

Phase 1 SBIR

Agency: Missile Defense Agency
Topic: MDA04-122
Budget: 02/15/05 - 10/14/05

Battlefield Management C4I (TBMC4I) centers must address complex, "off nominal" and time-critical theater ballistic missile (TBM) scenarios. Under the Missile Defense Agency's (MDA) Project Hercules, battlefield learning algorithms will evolve into an Adaptive Battlefield Learning Engine (ABLE) to provide decision support and unify situational ...

Phase 1 SBIR

Agency: Army
Topic: A04-060
Budget: 01/11/05 - 07/11/05

Ocean Systems Engineering Corporation (OSEC) proposes to develop Improvised Explosive Device (IED) Neutralization and Detection (INDET) for ground forces protection against remotely controlled improvised explosive devices (IED) and related insurgent/terrorist explosive threats. IED's have become an extremely significant and dangerous force prot...

Phase 2 SBIR

Agency: Navy
Topic: N02-207/1
Budget: 02/20/04 - 02/20/06

The Learning Machine for Anti-Terrorism Applications utilizes a Neural Network architecture to implement a vector-matrix multiplication technique for data pattern recognition. This capability can be used to find potential data of interest within large data sets. A second Learning Machine can be used in conjunction with the results from the first...

Phase 1 SBIR

Agency: Navy
Topic: N03-150
Budget: 01/12/04 - 01/12/04

SINRJE-N will modify, network, and integrate (1) AN/SLQ-32 to network ELINT data (2) EWCS (Electronic Warfare Control System) to process SLQ-32 data (3) CORRUS (Correlation Using SEI) for Specific Emitter Identification (SEI) of both organic and all source ELINT, and (4) SCCID (Shipboard Composite Combat Identification) to process ELINT. SCCID w...

Phase 2 SBIR

Agency: Navy
Topic: N02-112
Budget: 04/01/03 - 04/01/05

Modern wideband Maritime cryptologic / Information Warfare (Exploitation) systems currently perform their sensor functions very well. However, their output volume is more than the local operator / analyst can manage. Consequently, this data is reported to remote analysis sites for further processing and analysis. Any derived intelligence is re...

Phase 1 SBIR

Agency: Navy
Topic: N02-112
Budget: 08/02/02 - 02/02/03

The SSP AIE SBIR effort will examine non-deterministic, deterministic rules based and expert methods for automatically parsing and extracting high-value information and knowledge from recognized, demodulated signal events as they occur. This process is essentially independent of classic signal recognition and could be applied to any digitized me...