MIKEL, Inc USW Solutions Evidence-Based Contact Tracking E-BaCT Brian W. Guimond Steven Nardone.

Slides:

Advertisements

Similar presentations

TWO STEP EQUATIONS 1. SOLVE FOR X 2. DO THE ADDITION STEP FIRST

Advertisements

NABOB MARS III Passing at a Given Distance. 500 x.

Slide 1 Insert your own content. Slide 2 Insert your own content.

Copyright © The McGraw-Hill Companies, Inc. Permission required for reproduction or display. *See PowerPoint Lecture Outline for a complete, ready-made.

1 Copyright © 2010, Elsevier Inc. All rights Reserved Fig 3.1 Chapter 3.

Copyright © 2011, Elsevier Inc. All rights reserved. Chapter 4 Author: Julia Richards and R. Scott Hawley.

1 Copyright © 2010, Elsevier Inc. All rights Reserved Fig 2.1 Chapter 2.

1 Copyright © 2013 Elsevier Inc. All rights reserved. Chapter 28.

1 Chapter 40 - Physiology and Pathophysiology of Diuretic Action Copyright © 2013 Elsevier Inc. All rights reserved.

By D. Fisher Geometric Transformations. Reflection, Rotation, or Translation 1.

Quest ion 1? A.) answer B.) answer C.) correct answerD.) answer L C.) correct answer F.

Wenke Lee and Nick Feamster Georgia Tech Botnet and Spam Detection in High-Speed Networks.

Wenke Lee and Nick Feamster Georgia Tech Botnet and Spam Detection in High-Speed Networks.

Combining Like Terms. Only combine terms that are exactly the same!! Whats the same mean? –If numbers have a variable, then you can combine only ones.

Jeopardy Q 1 Q 6 Q 11 Q 16 Q 21 Q 2 Q 7 Q 12 Q 17 Q 22 Q 3 Q 8 Q 13

Jeopardy Q 1 Q 6 Q 11 Q 16 Q 21 Q 2 Q 7 Q 12 Q 17 Q 22 Q 3 Q 8 Q 13

Multiplying monomials & binomials You will have 20 seconds to answer the following 15 questions. There will be a chime signaling when the questions change.

WavesSection 1 What Is a Wave? What does a wave carry?

ALGEBRAIC EXPRESSIONS

DIVIDING INTEGERS 1. IF THE SIGNS ARE THE SAME THE ANSWER IS POSITIVE 2. IF THE SIGNS ARE DIFFERENT THE ANSWER IS NEGATIVE.

MULTIPLYING MONOMIALS TIMES POLYNOMIALS (DISTRIBUTIVE PROPERTY)

ADDING INTEGERS 1. POS. + POS. = POS. 2. NEG. + NEG. = NEG. 3. POS. + NEG. OR NEG. + POS. SUBTRACT TAKE SIGN OF BIGGER ABSOLUTE VALUE.

SUBTRACTING INTEGERS 1. CHANGE THE SUBTRACTION SIGN TO ADDITION

MULT. INTEGERS 1. IF THE SIGNS ARE THE SAME THE ANSWER IS POSITIVE 2. IF THE SIGNS ARE DIFFERENT THE ANSWER IS NEGATIVE.

Teacher Name Class / Subject Date A:B: Write an answer here #1 Write your question Here C:D: Write an answer here.

Developing Event Reconstruction for CTA R D Parsons (Univ. of Leeds) J Hinton (Univ. of Leicester)

IEEE CDC Nassau, Bahamas, December Integration of shape constraints in data association filters Integration of shape constraints in data.

Empty Box Problems Subtraction = 3 If you start on 6 and jump back 3 spaces you land on

Accelerating Wind Energy 1 A physical approach to monitor tower base fatigue loads using standard signals Thesis presentation Freark Koopman Committee:

PLAN Interpretive Visuals 9/2009 Interpretive Visuals.

Design and Use of Memory-Specific Test Structures to Ensure SRAM Yield and Manufacturability F. Duan, R. Castagnetti, R. Venkatraman, O. Kobozeva and S.

Context-Aware Mobile Music Recommendation for Daily Activities

Matthias Wimmer, Bernd Radig, Michael Beetz Chair for Image Understanding Computer Science TU München, Germany A Person and Context.

O X Click on Number next to person for a question.

© S Haughton more than 3?

5.9 + = 10 a)3.6 b)4.1 c)5.3 Question 1: Good Answer!! Well Done!! = 10 Question 1:

Benchmark Series Microsoft Excel 2013 Level 2

1 Directed Depth First Search Adjacency Lists A: F G B: A H C: A D D: C F E: C D G F: E: G: : H: B: I: H: F A B C G D E H I.

Take from Ten First Subtraction Strategy -9 Click on a number below to go directly to that type of subtraction problems

Squares and Square Root WALK. Solve each problem REVIEW:

Energy & Green Urbanism Markku Lappalainen Aalto University.

DAILY QUESTIONS FOR FEB. 10 TO FEB. 14 FEBRUARY 10 WHICH OF THE FOLLOWING WAVES CAN TRAVEL THROUGH SPACE? A.COMPRESSION B.TRANSVERSE/ELECTROMAGNETIC C.MECHANICAL.

Past Tense Probe. Past Tense Probe Past Tense Probe – Practice 1.

Limits (Algebraic) Calculus Fall, What can we do with limits?

Why Take EXPLORE? EXPLORE shows your strengths and weaknesses in English, mathematics, reading, and science. EXPLORE helps you search for careers and.

Properties of Exponents

Addition 1’s to 20.

25 seconds left…...

Test B, 100 Subtraction Facts

Doubles Facts Doubles with Pictures Doubles without Pictures Pictures Only.

11 = This is the fact family. You say: 8+3=11 and 3+8=11

We will resume in: 25 Minutes.

1 Ke – Kitchen Elements Newport Ave. – Lot 13 Bethesda, MD.

Bottoms Up Factoring. Start with the X-box 3-9 Product Sum

Chapters: Prologue, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17 Prologue (History of Oceanography) Marine Geography Homework Chapters: Prologue,

O X Click on Number next to person for a question.

How Cells Obtain Energy from Food

Solve an equation by multiplying by a reciprocal

Benchmark Series Microsoft Excel 2013 Level 2

G. Valenzise *, L. Gerosa, M. Tagliasacchi *, F. Antonacci *, A. Sarti * IEEE Int. Conf. On Advanced Video and Signal-based Surveillance, 2007 * Dipartimento.

Adaptive Signal Processing Class Project Adaptive Interacting Multiple Model Technique for Tracking Maneuvering Targets Viji Paul, Sahay Shishir Brijendra,

November 1, 2012 Presented by Marwan M. Alkhweldi Co-authors Natalia A. Schmid and Matthew C. Valenti Distributed Estimation of a Parametric Field Using.

Sponsored by Target Tracking by Using Seismic Sensor spaceShuttle December 20, 2011 PROJECT PRESENTATION.

MURI: Integrated Fusion, Performance Prediction, and Sensor Management for Automatic Target Exploitation 1 Dynamic Sensor Resource Management for ATE MURI.

Principles of Radar Target Tracking The Kalman Filter: Mathematical Radar Analysis.

Unscented Kalman Filter (UKF) CSCE 774 – Guest Lecture Dr. Gabriel Terejanu Fall 2015.

Background 2 Outline 3 Scopus publications 4 Goal and a signal model 5Harmonic signal parameters estimation.

Presentation transcript:

MIKEL, Inc USW Solutions Evidence-Based Contact Tracking E-BaCT Brian W. Guimond Steven Nardone

MIKEL, Inc USW Solutions Outline 2/15 The Objective: Generate the Tactical PictureThe Objective: Generate the Tactical Picture Current Technology: “The Legacy System”Current Technology: “The Legacy System” E-BaCT: A New ParadigmE-BaCT: A New Paradigm Experimental ResultsExperimental Results ConclusionsConclusions

MIKEL, Inc USW Solutions Objective 3/15 Sensor Data Tactical Picture Transform Sensor Data into the Tactical Picture Azimuth Bearing RXRX Time RYRY

MIKEL, Inc USW Solutions 4/15 Contact Tracking via State Estimation Given a history of associated measurements (bearings) find the state (range, bearing course and speed) of each contact of interest. State Estimation Methods Extended Kalman Filter Monte Carlo Methods (Particle Filter) Manual Adaptive Target Evaluator (MATE) Associated Bearing Measurement History Contact Followers Current Technology

MIKEL, Inc USW Solutions 5/15 β t Contact Ownship Legacy Legacy System Process Contact Follower β(t i ) Associated Bearings State Estimate Estimate

MIKEL, Inc USW Solutions 6/15 Crossing Contacts Splitting/Merging Traces Intermittent Traces (Sphere Array Baffles) High Bearing-Rate Contacts Legacy System Challenges Solution: Manual Association

MIKEL, Inc USW Solutions 7/15 Evidence-Based Contact Tracking * The Paradigm Given a set of admissible solutions determine the aggregated evidence that supports or refutes each solution. The Design Process Design the Set of Admissible Solutions Identify/Extract Features Aggregate Features Extract Solution and Quality Measure * B. H. Maranda and J. A. Fawcett, ”Detection and localization of weak targets by space-time integration,” IEEE J 0f Ocean Eng., vol. 16, no. 2, pp , April 1991.

MIKEL, Inc USW Solutions 8/15 Energy Signal Cells Bearing-Rate Speed Bearing Time Sensor Data Admissible Solutions Features Aggregated Features Solution Extraction Admissible Solution Illustrative E-BaCT Processor

MIKEL, Inc USW Solutions 9/15 Example 1 High Bearing-Rate Low SNR Contact Amplitude

MIKEL, Inc USW Solutions 10/15 Example 1: Towed Array Contact BTR Input DataGeoplot Contact Solution

MIKEL, Inc USW Solutions 11/15 E-BaCT Solutions Time (sec) Range History Bearing Rate History Bearing History Range (kyrds) Bearing (deg) Normalized Range Rate (%/min) Normalized Range Rate History Bearing Rate (deg/min)

MIKEL, Inc USW Solutions 12/15 Example 2: Towed Array Contact

MIKEL, Inc USW Solutions 13/15 Example 3: Multi-Contact BTR Input Data Tactical Picture Solution Validation

MIKEL, Inc USW Solutions 14/15 Summary Evidence-based contact tracking is new paradigm for developing the tactical picture from sensor data and heuristic information. Paradigm inherently associates data and information in time across a set of admissible solutions and thereby avoids the need for contact followers. A prototype combat control system has been developed for processing sphere and towed array data. Experimental designs have been extended to the wide aperture array and multisensor data processing.

MIKEL, Inc USW Solutions 15/15 Thank You for Your Attention Questions?