Antoine de Saint-Exupery: Perfection is reached, not when there is no longer anything to add, but when there is no longer anything to take away. DFS Deutsche.

Slides:

Advertisements

Similar presentations

Coordinate Systems

Advertisements

AK500N THE ULTIMATE MQS NETWORK AUDIO PLAYER.

Navigation Fundamentals

Lesson 7-2 Sectors of Circles.

Map Projections (2/2) Francisco Olivera, Ph.D., P.E. Center for Research in Water Resources University of Texas at Austin.

Navigational Elements. Warm-Up Questions CPS Questions 1-2 Chapter 4, Lesson 1.

Tracking a maneuvering object in a noisy environment using IMMPDAF By: Igor Tolchinsky Alexander Levin Supervisor: Daniel Sigalov Spring 2006.

Map Projections Francisco Olivera, Ph.D., P.E. Srikanth Koka

THERMAL SETUP AND CONFIGURATION VERIFICATION INSTRUCTIONS Feedback Solutions.

Table of Contents Title: Chapter 2 - Mapping our World Page #: 17

Map Projection & Coordinate Systems

Geodesy, Map Projections and Coordinate Systems

1 Types of Operations (4.7/4.9) Operations on coordinates –Validation (move to clause 5?) –Conversions –Transformations Horizontal Vertical (especially.

Cartography: the science of map making

Motion  1 Position, Speed and Velocity  2 Graphs of Motion  3 Acceleration.

Colorado Center for Astrodynamics Research The University of Colorado 1 STATISTICAL ORBIT DETERMINATION Satellite Tracking Example of SNC and DMC ASEN.

Geodesy and Map Projections Geodesy - the shape of the earth and definition of earth datums Map Projection - the transformation of a curved earth to a.

Map Skills Ms. Lim Grade 9 Geography. Problem #1round Earth, flat map Mercator ProjectionGall-Peters equal area projection Which map do you think the.

Computerised Air Traffic Management Tools - Benefits and Limitations OMAR BASHIR (March 2005)

The Kalman Filter ECE 7251: Spring 2004 Lecture 17 2/16/04

Chapter 9 Topic 3 Study Guide notes. Item #1 The metric system is a system of measurement units that is used by scientists and most countries around the.

Covariance Intersection-Based Sensor Fusion with Local Multiple Model Hypothesis Testing for Sounding Rocket Tracking and Impact Point Prediction Julio.

Opton 4 short presentation1 Opton 4 User friendly operating software for Symmetron’s Stylitis data loggers.

Complete Pose Determination for Low Altitude Unmanned Aerial Vehicle Using Stereo Vision Luke K. Wang, Shan-Chih Hsieh, Eden C.-W. Hsueh 1 Fei-Bin Hsaio.

Latitude, Longitude, and Maps.  Cartography is the science of making maps.  Use of imaginary grid of parallel and vertical lines to give exact locations.

Data Fusion and Multiple Models Filtering for Launch Vehicle Tracking and Impact Point Prediction: The Alcântara Case – Julio Cesar Bolzani de Campos Ferreira.

Map Projections Francisco Olivera, Ph.D., P.E. Srikanth Koka Department of Civil Engineering Texas A&M University.

Map Projections RG 620 Week 5 May 08, 2013 Institute of Space Technology, Karachi RG 620 Week 5 May 08, 2013 Institute of Space Technology, Karachi.

Coordinate Systems and Projections. Geodesy, Map Projections and Coordinate Systems Geodesy - the shape of the earth and definition of earth datums Map.

LECTURE 3B – CHART PROJECTION. Introduction to Chart Projection  Usually we read chart in coordinate system.  A projected coordinate system is defined.

Latitude and Longitude: Finding Locations on Planet Earth. With thanks and credit to Step.com.

GIS in Water Resources Review for Midterm Exam. Latitude and Longitude in North America 90 W 120 W 60 W 30 N 0 N 60 N Austin: (30°N, 98°W) Logan: (42°N,

Latitude and Longitude Some Basics. Mapping Earth ► In order to find geographic locations on Earth, a global coordinate mapping system is used ► This.

Standard 1.h: Read and interpret topographic and geologic maps.

Final Presentation Avilés-Angélica, Blanco-Alberto, Fuentes-Alba, Pell-Xavier, Schenini-Juan, Talukder-Nurul.

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

* * 0 Latitude and Longitude. * * 0 ■ Lines of Latitude and Longitude are imaginary lines that encircle the Earth in either an East- West direction or.

Underwater Vehicle Navigation Techniques Chris Barngrover CSE 237D.

Measuring Latitude and Longitude. Parallels of Latitude Imaginary lines that remain at an equal distance from each other Labeled in degrees North or South.

Why Do We Have Seasons?.

Locating Positions on the Earth’s Surface

MAPPING OUR WORLD CHAPTER 2. CARTOGRAPHY The science of mapmaking is called cartography. – Study of maps – Creation of maps – Combines science, aesthetics,

From you host … Dr. H. Introduction Communications design requires us to think about the following issues: Communications design requires us to think.

Tracking Mobile Nodes Using RF Doppler Shifts

The KOSMOSHOWS What is it ? The statistic inside What it can do ? Future development Demonstration A. Tilquin (CPPM)

ENE 490 Applied Communication Systems

Colorado Center for Astrodynamics Research The University of Colorado 1 STATISTICAL ORBIT DETERMINATION Kalman Filter with Process Noise Gauss- Markov.

Measuring Latitude and Longitude. Absolute Location Exact location –Determined by measuring latitude & longitude –Latitude always written first (Latitude,

MOTION. Chapter Four: Motion  4.1 Position, Speed and Velocity  4.2 Graphs of Motion  4.3 Acceleration.

ES1 Notes Mapping. Latitude and Longitude Latitude and Longitude form a grid system used to locate points on the Earth.

Chapter 3- Coordinate systems A coordinate system is a grid used to identify locations on a page or screen that are equivalent to grid locations on the.

Motion and Force Chapter Three: Motion 3.1 Position and Velocity 3.2 Graphs of Motion 3.3 Acceleration.

Navigational Elements. Discussion What other steps do you think the American pilots could have taken to navigate to friendly territory? Read page 262.

- A Maximum Likelihood Approach Vinod Kumar Ramachandran ID:

Finding Locations on Earth. Typical Graph This is an example of a typical graph we are all familiar with. The graph is made up of different “points” with.

Midterm Review 28-29/05/2015 Progress on wire-based accelerating structure alignment Natalia Galindo Munoz RF-structure development meeting 13/04/2016.

Visualizing Raster Data in 3D using Matlab Project for GIS in Water Resources Fall 2008 Joshua Roundy.

Project 1: Coordinates and Projections

On Optimal Distributed Kalman Filtering in Non-ideal Situations

By Bret, Kayla, Antonia, Arin

Latitude and Longitude

Coordinate Reference Systems

Globes and Maps.

Dongwook Kim, Beomjun Kim, Taeyoung Chung, and Kyongsu Yi

Interpreting Principal Components

Mapping Earth’s Surface

Background Info/Purpose

Michael L. Dennis, RLS, PE G67940_UC15_Tmplt_4x3_4-15

Presentation transcript:

Antoine de Saint-Exupery: Perfection is reached, not when there is no longer anything to add, but when there is no longer anything to take away. DFS Deutsche Flugsicherung GmbH, TWR/T-FRA, Andre Adrian

What is Phoenix ?  The new DFS Tower Radar Display  Single Model KF Multi Radar Tracker with - central track file - plot fusion - no mosaicing  Two server, two LAN redundant architecture  Remote Radar display with 9600bps link  Using Linux on PC-Hardware, written in C  Capacity 30 sensors, 2000 tracks DFS Deutsche Flugsicherung GmbH, TWR/T-FRA, Andre Adrian

Phoenix - Designer's Experiences  What the measurement transformation has broken, the filtering can not fix. - cheap transformation approximations deliver biased transformed measurements to the filter  A minimum number of statistical variables for a maximum position accuracy - model determination needs information that is taken away from position accuracy.  There is always one more bug DFS Deutsche Flugsicherung GmbH, TWR/T-FRA, Andre Adrian

Phoenix Design decisions  Use all measurements  Use high quality Measurement transformation  Only use ellipsoid validation gate  Use low CPU-load Kalman Filter with - coupled x, y axes, uncoupled z axis - no acceleration state variable  Track every target  Display always Track position  Minimize Server to Server communication DFS Deutsche Flugsicherung GmbH, TWR/T-FRA, Andre Adrian

Phoenix 4+2 Dimension Kalman Filter State vector X, Transition matrix F, State Covariance matrix P DFS Deutsche Flugsicherung GmbH, TWR/T-FRA, Andre Adrian

Phoenix Slant Range Correction Circular Earth Model Distance over ground s range , Target Altitude H c Sensor Altitude H r Earth Radius E r DFS Deutsche Flugsicherung GmbH, TWR/T-FRA, Andre Adrian

Phoenix Measurement transformation Plot position in system coordinates x r, y r Sensor position in system coordinates x, y Plot position in measurement coordinates ,  Meridian convergence , length distorion  Target Altitude H c, Sensor Altitude H r DFS Deutsche Flugsicherung GmbH, TWR/T-FRA, Andre Adrian

Phoenix Meridian Convergence Stereographic projection of northern hemisphere with point of tangency 50°N, 10°E * „North“ on the map is longitude dependent DFS Deutsche Flugsicherung GmbH, TWR/T-FRA, Andre Adrian

Phoenix length distortion compensation Differences projected distances to great circle distances (mid-latitude) for Germany area Left: no length distortion compensation  Right: with  (Distortion in cm per projected km) DFS Deutsche Flugsicherung GmbH, TWR/T-FRA, Andre Adrian

Radar/Track Playback AMOR/RAPS ATC System under test like Phoenix TE Infrastructure for statistical Evaluation of ATC systems System Log ASCII file of converted input measurements System Log ASCII file of displayed targets Statistical Tool for Track/Radar quality control SAS Simulated Radar or Track data from AFS DFS Deutsche Flugsicherung GmbH, TWR/T-FRA, Andre Adrian

Phoenix Evaluation results DFS Deutsche Flugsicherung GmbH, TWR/T-FRA, Andre Adrian

Phoenix failed evaluation detail DFS Deutsche Flugsicherung GmbH, TWR/T-FRA, Andre Adrian

Phoenix failed evaluation target path DFS Deutsche Flugsicherung GmbH, TWR/T-FRA, Andre Adrian

Phoenix measured performance with Germany live traffic  650MHz PC: 13 Radars, 550 Tracks -> 12% CPU load 30 Radars, 830 Tracks -> 28% CPU load  2GHz PC: 13 Radars, 550 Tracks -> 7% CPU load 30 Radars, 830 Tracks -> 15% CPU load  O(n) for track to CPU load much better than n^2 DFS Deutsche Flugsicherung GmbH, TWR/T-FRA, Andre Adrian

Phoenix -Conclusions System Evolution: Primitivefixed gain filter Complexinteractive multi model filter Simplesingle model filter * To be done: Sensor weather channel display Minimum safety altitude warning (MSAW) More integration with flight-plan systems Better tracking of dim targets and, and, and... DFS Deutsche Flugsicherung GmbH, TWR/T-FRA, Andre Adrian