| | | | | | | |
| | | | | | | | | | | |
| | | | | | | | | | | |
| | | | | | | | | | | |
| | | | | | | | | | | |
| | | | | | | | | | | |
| | |
| | | | | | | | | | | |
| | | | | | | | | | | |
| | | | | | | |
| | | | | | | | | | | |
| | | | | | |
| |
In its 7th year, the event is the only one of its kind in North America that focuses solely on advancing military radar capabilities. This event will bring together the most influential and knowledgeable radar experts in order to discuss the future measures and strategies for Developing the Next-Generation Military Radar while Maintaining and Advancing Current Systems.
Attend this event to learn about a new era of radar research and development in the new environment of sequestration and budget cuts. It will investigate the current state of technology implemented within the radar industry and the road ahead.
|
| | | | | | | | |
| | | | | | | | | | | |
| | | | | |
- Dr. Joseph R. Guerci, IEEE Fellow and Warren D. White Award Recipient
- Braham Himed,
PhD Technical Advisor RF Technology Branch, Air Force Research Laboratory
Adam Hendrickson Sensor/Systems Engineer,
US Army - PM UAS - USAIC PD - Vincent Sabio, Program Manager, DARPA Systems Technology Office
- LTC, AV Hector A. Gonzalez Program Manager, Silent Knight Radar, USSOCOM, PEO RW
- Kurt W. Sorensen Manager, ISR EM & Sensor Technologies Department, Sandia National Laboratories
- Mike Meany Director, Ground Based Tactical Radar, Northrop Grumman
|
| | |
| | | | | | | | | | | |
| | | | | | |
|
>> The Future of Cognitive Radar:
|
|
| | | | | | | | | | | |
| | | | | | | | | | | |
| | | | | |
Dr. Guerci describes the most groundbreaking radar advancements outlined in the FY14 budget, the recent advances in radar front-end hardware and the steps needed to develop multi-functional radars with expanded capabilities for all theatres of war.
|
| |
| | | | | | | | | | |
| | | | | | | | | | | |
| | | | | | | | | | | |
| | | | | | | | | | | |
| |
Although all adaptive radars incorporate a rudimentary "learning" capability -- otherwise they would not be adaptive -- the learning component in these types of systems is mechanical in nature. In other words, not very intelligent... |
| |
| | | | | | | | | | | |
| | | | | | | | | | | |
| | | | | | | | | | | |
| | | | | | | | | |
| |
| | | | | | | | | | | |
| | | | | | | | | | |
| |
| | | | | | | | | | | | |
| | | | | | | | | | | |
| | | | | | | | | | | |
| | | | | | | | | | | |
| | | | | | | | | | | |
| | | | | | | |
| | | |
| | | | | | | | | | | | |
| | | | | | | | | | | |
| | | | | | | | | | |
| | | | | | | | | | | |
| | | | | | | | | | | |
| | | | | | | | | | | |
| | | | | |
|
