The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Oct. 31, 2017

Filed:

Jul. 22, 2016
Applicant:

Ziva Corporation, San Diego, CA (US);

Inventors:

David Smith, Ellicott City, MD (US);

Jeremy Rode, San Diego, CA (US);

Anis Husain, San Diego, CA (US);

Mark Hsu, Richmond, CA (US);

Maha Achour, Encinitas, CA (US);

Assignee:

ZIVA CORP., San Diego, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
H04K 3/00 (2006.01); H04W 4/02 (2009.01); H04B 7/01 (2006.01); H04W 8/00 (2009.01); H04W 84/18 (2009.01);
U.S. Cl.
CPC ...
H04K 3/41 (2013.01); H04B 7/01 (2013.01); H04W 4/023 (2013.01); H04W 84/18 (2013.01);
Abstract

In examples, Radio Frequency Iterative Time-Reversal (RF-ITR) and singular value decomposition (SVD) are used by an array of nodes to characterize environment by identifying scatterer objects. The array may be ad hoc dynamic or stationary. The environment is cancelled from the RF-ITR by adjusting Time-Reversal (TR) prefilters, reducing illumination of the scatterer objects in the environment. This enables the RF-ITR process to focus on a moving target, which can then be sensed (discovered, identified, monitoring, tracked, and/or imaged). The moving target on which the RF-ITR process focuses may then be cancelled from the RF-ITR in the same way as the environment, allowing the RF-ITR to focus on another target. Multiple moving targets can thus be sensed. Defensive measures such as jamming may then be taken against the targets. The targets may be distinguished from the scatterer objects in the environment through differential, Doppler processing, and other classification techniques.


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