Bbn Technologies Corporation

Applied Physical Sciences Corp.

David Earl Norris

Gary Dana Butler

Ernest Scott Stickels

John Michael Bourdelais

William Ray Wright

Michael Anthony Tiberio

Christopher S Brundick

Dwight E Davis

Ernest Scott Stickles

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.

Sparse array RF imaging for surveillance applications

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.

Real-time multistatic radar signal processing system and method

Growing community of inventors

Fairfax Station, VA, United States of America

David Earl Norris