KAB Laboratories, Inc.

3116 Mercer Lane
San Diego, CA 92122
http://[email protected]
45 Employees

SBIR Award Summary

Total Number of Awards 14
Total Value of Awards $3.96MM
First Award Date 01/01/88
Most Recent Award Date 11/09/11

Key Personnel

Last Name Name Awards Contact
Comisky Dr. Clifford V. Comisky 2 Message
Theriault Mr. John Theriault 4 Message
Reach Mr. Todd Reach 2 Message
Konotchick John Konotchick 1
Konotchick John Konotchick 4
Helewa John Helewa 4 Message

14 Awards Won

Phase 2 STTR

Institution: University of California, San Diego

Agency: Navy
Topic: N10A-T044
Budget: 11/09/11 - 05/08/13

Synthetic scenario-based training of Navy personnel in the use of Navy SIGINT/IO systems has helped to reduce training costs, and it has enabled the personnel to be trained in an environment that sufficiently approximates real-world situations that could not otherwise be accomplished within the classroom. However, scenario development is highly ...

Phase 2 SBIR

Agency: Navy
Topic: N101-100
Budget: 09/07/11 - 03/07/13

Under SBIR Topic N101-100 (Multi-Source Imagery and Geopositional Exploitation [MSIGE]), three Phase I performers developed capability concepts to address different aspects of the MSIGE problem set. In Phase 2, we propose to develop a prototype DCGS-N capability for Multi-INT ISR and Targeting Services (MITS) by developing three subsystems and i...

Phase 2 SBIR

Agency: Navy
Topic: N02-111
Budget: 04/27/11 - 10/27/12

This proposal builds on earlier development activities by applying AFE concepts to the UHF MILSATCOM Channel Monitoring System. The UHF MILSATCOM Channel Monitoring System monitors quality of service (QoS) on UHF MILSATCOM channels, alerts operators to anomalies, supports space situational awareness, and records channel activity for analysis. Wi...

Phase 1 SBIR

Agency: Navy
Topic: N101-100
Budget: 08/26/10 - 02/26/11

Full Motion Video (FMV), as a subset of Imagery Intelligence (IMINT), is an important accelerator in the Find, Fix, Track, Target, Engage, and Assess (F2T2EA) process. It can provide behavioral cues for a target that are difficult to discern from still images or non-visual sensor reporting alone. But, the natural form of video has several proble...

Phase 1 STTR

Institution: University of California, San Diego

Agency: Navy
Topic: N10A-T044
Budget: 06/28/10 - 07/31/11

Synthetic scenario-based training of Navy personnel in the use of Navy SIGINT/IO systems has helped to reduce training costs, and it has enabled the personnel to be trained in an environment that sufficiently approximates real-world situations that could not otherwise be accomplished within the class room. However, scenario development is hi...

Phase 2 STTR

Institution: University of California, San Diego

Agency: Navy
Topic: N05-T033
Budget: 02/15/07 - 02/15/09

The Automatic Radio Frequency (RF) Measurement Module (ARMM) supports Specific Emitter Identification/Specific Emitter Verification (SEI/SEV) by providing detailed measurements against collected communication signals. ARMM is an integrated set of digital signal processing (DSP) algorithms that extracts and reports key features against collected...

Phase 1 STTR

Institution: University of California, San Diego

Agency: Navy
Topic: N05-T033
Budget: 08/01/05 - 05/31/06

Technological advances in both military and commercial communications have resulted in increasingly complex signal waveforms that cannot be processed using existing algorithms. As a result, cryptologic technicians and analysts often must manually derive a signal's features and match those features to an emitter class. Due to the large volumes ...

Phase 2 SBIR

Agency: Navy
Topic: N02-111
Budget: 04/01/03 - 04/01/05

The Automatic Feature Evaluator (AFE) Phase II program will develop a demonstration capability to show how data with different, missing, and corrupted attributes can be assembled into a decision-making process. The unit will address three areas of concern: clustering, the formation of some initial groupings (clusters) of measurements, each rep...

Phase 1 SBIR

Agency: Navy
Topic: N02-111
Budget: 08/15/02 - 02/15/03

This proposal attacks the Navy clustering problem by first dividing the reported features into two classes: primary features (those intended to be useful) and secondary features (those unintentionally useful). Subject matter experts will then explain how they have used the secondary features to form initial clusters of primary features. An exper...

Phase 1 SBIR

Agency: Defense Advanced Research Projects Agency
Topic: SB972-066
Budget: 09/29/97 - 05/28/98

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