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Patent 7986809 Click For Printable Version of This Patent
Patent Information:  USPTO Site Listing

Patent Number: 7986809
Case ID: 0
Patent Title: Equation of linked multiple source measurements to a uniquely identified object
Status: ACTIVE
Status Date: 12/2/2011 1:11:11 PM
Issue Date: 7/26/2011
Filed Date: 8/19/2008
Serial #: 2/194,424
Assignee Name: United States of America as represented by the Secretary of the Navy (Washington, DC)
Inventor(s): Funk, Clarence John
Lab Information:  View Lab Profile

Lab Name: SPAWAR Systems Center, Pacific
Location: 53560 Hull Street
San Diego, CA 92152-5001
Contact: Contact Lab About This Patent
   
Description:
CROSS REFERENCE TO RELATED APPLICATIONS

This application is related to U.S. patent application Ser. No. 12/165,779, filed Jul. 1, 2008, (Navy Case 97,580) titled "SYSTEM AND METHOD FOR TARGET IDENTIFICATION USING PROBABILISTIC ASSOCIATION OF SENSOR INPUT TO KNOWN TARGETS," by the present inventor Clarence J. Funk, the contents of which are incorporated by reference in its entirety herein, hereafter referred to as the Association of Sensor Input Application.

BACKGROUND OF THE INVENTION

1. Field

This disclosure relates to object or object identification. More particularly, this disclosure relates to deterministically updating and linking multiple source data to a uniquely identified object or object.

2. Background

Object or object identification and tracking is a field of great interest in commercial and military circles. However, the accuracy and consolidation of information from multiple sources to uniquely identify an object  . . . . More
Abstract:
Methods and systems are disclosed to associate input data with status, location, and technical attributes to arrive at a uniquely identified candidate object by obtaining a set of initial candidate objects based on input data being compared to known technical attributes of uniquely identified objects, obtaining best-known object location and status history for each initial candidate object using previously known location and status information of each initial candidate object, assigning a statistical weight to each initial candidate object based on its maximum calculated speed and speed capabilities of each initial candidate object, generating an association probability of each of the initial candidate objects to the input data to arrive at a set of final candidate objects, and re-evaluating any of the above with data considered to be current that was not used, wherein the set of final candidate objects are uniquely iden . . . . More
Claims:
What is claimed is:

1. A method to arrive at a set of uniquely identified candidate objects comprising: (a) obtaining input data from physical phenomena sensors; (b) comparing the input data to known technical attributes of uniquely identified objects to obtain a set of initial candidate objects; (c) obtaining best-known object location and status history for each initial candidate object using previously known location and status information of each initial candidate object; (d) assigning a statistical weight to each initial candidate object based on its maximum calculated speed and speed capabilities of each initial candidate object; (e) generating an association probability of each of the initial candidate objects to the input data to arrive at a set of final candidate objects; and (f) re-evaluating any of the above steps (a)-(e) with data considered to be current that was not used in the above steps (a)-(e), wherein the set of final candidate objects are uniquely iden . . . . More