Ernest S Stickels

7324979, Jan 29, 2008

Aug 29, 2003

10/652542

Gary Dana Butler - Alexandria VA, US
Andrew Charles Coon - Columbia MD, US
Robert Warren Kanyuck - Laurel MD, US
Ernest Scott Stickels - Lothian MD, US

BBN Technologies Corp. - Cambridge MA

G06G 7/00
G06N 5/00

706 25, 706 20, 706 45

Genetically adaptive neural network systems and methods provide environmentally adaptable classification algorithms for use, among other things, in multi-static active sonar classification. Classification training occurs in-situ with data acquired at the onset of data collection to improve the classification of sonar energy detections in difficult littoral environments. Accordingly, in-situ training sets are developed while the training process is supervised and refined. Candidate weights vectors evolve through genetic-based search procedures, and the fitness of candidate weight vectors is evaluated. Feature vectors of interest may be classified using multiple neural networks and statistical averaging techniques to provide accurate and reliable signal classification.

20060238407, Oct 26, 2006

Apr 22, 2005

11/112390

John Bourdelais - Vienna VA, US
Ernest Stickels - Lothian MD, US
William Wright - Springfield VA, US
David Norris - Fairfax Station VA, US
Michael Tiberio - Arlington VA, US
Gary Butler - Alexandria VA, US

G01S 7/41

342090000, 342195000, 342180000, 342109000

A real-time signal processing engine robustly detects, localizes, tracks and classifies ground targets based on radar signals from a multistatic radar system. The system differentiates between different targets based on an optimized cost function, which can include the total returned normalized pulse energy. The local transmitters/receivers can communicate with each other via the transmitted radar signals.

20070268182, Nov 22, 2007

Feb 26, 2007

11/710868

John Bourdelais - Vienna VA, US
Ernest Stickels - Lothian MD, US
William Ray Wright - Springfield VA, US
David Norris - Fairfax Station VA, US
Michael Tiberio - Arlington VA, US
Gary Butler - Alexandria VA, US

BBN Technologies Corp. - Cambridge MA

G01S 3/02

342452000, 342461000, 342463000

A real-time signal processing engine robustly detects, localizes, tracks and classifies ground targets based on radar signals from a multistatic radar system. The system differentiates between different targets based on an optimized cost function, which can include the total returned normalized pulse energy. The local transmitters/receivers can communicate with each other via the transmitted radar signals.

20110267221, Nov 3, 2011

Apr 29, 2011

13/097812

Christopher S. Brundick - Aldie VA, US
Dwight E. Davis - Arlington VA, US
David E. Norris - Fairfax Station VA, US
Ernest S. Stickels - Lothian MD, US

Applied Physical Sciences Corp. - Groton CT

G01S 13/66

342180

Techniques are provided for sparse array RF imaging for surveillance applications. The present invention enables object image identification using a sparsely populated array of distributed radio nodes deployed and operated as a radar detection, tracking and identification application. Three-dimensional object images are formed, from which estimates of extent and shape can be extracted for objects that are detected in the vicinity of the deployed radar array. In addition, techniques are provided for the identification and/or classification of vehicles, humans and fauna through feature extraction from the formed three-dimensional images.

20150260838, Sep 17, 2015

Jun 1, 2015

14/726776

- Groton CT, US
Dwight E. Davis - Arlington VA, US
David E. Norris - Fairfax Station VA, US
Ernest S. Stickels - Lothian MD, US

G01S 13/89
G01S 13/02

Techniques are provided for sparse array RF imaging for surveillance applications. Objects in a three dimensional (3-D) image-data-set obtained from multi-static radio frequency detection data are classified, for example, as human or non-human. One or more geometric image features are extracted from the image-data-set that support a target classification process; and the one or more objects are classified as a threat based on a parametric evaluation of the extracted geometric image features.