ECEN5633 Radar Theory Lecture #28 23 April 2015 Dr. George Scheets www.okstate.edu/elec-eng/scheets/ecen5633 n Read 6.4 n Problems 6.1, Web 15 & 16 n Design.

Slides:



Advertisements
Similar presentations
ECEN4533 Data Communications Lecture #3915 April 2013 Dr. George Scheets n Problems: 6.1, Web n Corrected Quizzes due 1 week after return (DL) n.
Advertisements

ECEN5633 Radar Theory Lecture #1 13 January 2015 Dr. George Scheets n Read Chapter 1.1 – 1.4 n Ungraded Homework.
ECEN5633 Radar Theory Lecture #22 2 April 2015 Dr. George Scheets n Read 4.3 n Problems 4.10, Web 8 & 9 n Design.
Spectrum analyser basics Spectrum analyser basics 1.
Fundamentals of Networking Lab Seattle Spectrum Measurements MHz.
Rapidly Deployable Radio Network 5.3 GHz Microstrip Patch Antennas
Sensor for cellular activity Supervised by : Yossi Hipsh Preformed by : Assaf Haim Ohad Fremder.
Chapter 2 Fundamentals of Data and Signals
Sensor for cellular activity Supervised by : Yossi Hipsh Preformed by : Assaf Haim Ohad Fremder.
1 Chapter 2 Fundamentals of Data and Signals Data Communications and Computer Networks: A Business User’s Approach.
2.4-GHZ RF TRANSCEIVER FOR IEEE B WIRELESS LAN UF# UF#
Characterization Presentation Characterization Presentation Cellular Device Detection Instructor : Yossi Hipsh Performed by: Ari Avitzur Asher Pilai Winter.
ECEN3714 Network Analysis Lecture #27 23 March 2015 Dr. George Scheets n Problems: thru n Quiz #7.
HIAPER Cloud Radar Transceiver Exciter Receiver Oscillators High-Powered Amplifier Calibration Exciter Receiver Oscillators High-Powered Amplifier Calibration.
Spectrum Analyzer Basics Copyright 2000 Agenda Overview: What is spectrum analysis? What measurements do we make? Theory of Operation: Spectrum analyzer.
ECEN5633 Radar Theory Lecture #25 14 April 2015 Dr. George Scheets n Read 5.3 n Problems 5.3, Web10 & 11 n Reworked.
Data Communications & Computer Networks, Second Edition1 Chapter 2 Fundamentals of Data and Signals.
Radar equation review 1/19/10. Radar eq (Rayleigh scatter) The only variable is h, the pulse length Most radars have a range of h values. Rewrite the.
ECEN5633 Radar Theory Lecture #16 5 March 2015 Dr. George Scheets n Read 12.1 n Problems 11.1, 3, & 4 n Corrected.
ECEN5533 Modern Communications Theory Lecture #79 September 2014 Dr. George Scheets n Read 5.6 – 5.9 n Scan Design Problem #1 n Problems 5.14 & 5.15 n.
ECEN5533 Modern Commo Theory Lesson #11 23 September 2014 Dr. George Scheets n Read n Quiz #1 rework due 1 week after return (DL) n Exam #1:
ADS Design Guide.
DSB-SC AM Tx signal  AM Tx signal spectrum
Radar Signals Tutorial II: The Ambiguity Function
Longitudinal transfer function a.k.a. (M 55 ) measurements at the JLab FEL Pavel Evtushenko, JLab  Jlab IR/UV upgrade longitudinal phase space evolution.
Polarimetric Solid State Radar Design for CASA Student Test Bed
Radar Signals Tutorial 3 LFM, Coherent Train and Frequency Coding.
ECEN4523 Commo Theory Lecture #10 9 September 2015 Dr. George Scheets n Read Chapter 3.6 – n Problems:
ECEN5633 Radar Theory Lecture #9 10 February 2015 Dr. George Scheets n Read 8.4, 3.1 – 3.5 n Problems 2.38, 14.2,
ECEN4533 Data Communications Lecture #3710 April 2013 Dr. George Scheets n Read 6.1 – 6.2 n Problems: Web 27 & 28 n Exam #2: < 15 April (DL) n Corrected.
ECEN5633 Radar Theory Lecture #19 24 March 2015 Dr. George Scheets n Read 13.3, 9; 9.1 n Problems Web 4, 5, &
˜ SuperHeterodyne Rx ECE 4710: Lecture #18 fc + fLO fc – fLO -fc + fLO
University of Kansas 2004 ITTC Summer Lecture Series Network Analyzer Operation John Paden.
ECEN5633 Radar Theory Lecture #17 10 March 2015 Dr. George Scheets n Read 12.2 n Problems 11.5, 8, & 12.5 n Corrected.
ECEN3714 Network Analysis Lecture #30 30 March 2015 Dr. George Scheets Problems: Olde Quiz #8 Problems: Olde.
ECEN4523 Commo Theory Lecture #18 28 September 2015 Dr. George Scheets n Read Chapter 4.6 – 4.7 n Problems:
ECEN4523 Commo Theory Lecture #35 9 November 2015 Dr. George Scheets n Read 8.3 n Problems: 8.2-5, 6, & 9 n.
ECEN5633 Radar Theory Lecture #3 20 January 2015 Dr. George Scheets n Read 2.1 & 2.5 n Problems 1.11, 14, & 16.
ECEN4523 Commo Theory Lecture #32 2 November 2015 Dr. George Scheets n Read 8.1 n Problems: 8.1-1, 3, & 8 n.
Combined Linear & Constant Envelope Modulation
Travis Newton LO-IF Engineer EVLA LO/IF PDR January IF Downconverter Travis Newton LO/IF Engineer.
Tests of STO IF Components S. Weinreb April 15, 2009 Two 1-2 GHz IF amplifier plates and one 5 GHz converter plate for the Texas test flight have been.
Lecture 17 Op Amp Filters Low Pass and High Pass
ECEN5633 Radar Theory Lecture #13 24 February 2015 Dr. George Scheets n Read 11.1 – 11.4 n Problems 3.14, 18,
DBS Receiver System Presented By: Sarah Scharf, Pierre Desjardins, GuiPing Zhang, Peter Eseraigbo Supervisor: Prof. Barry Syrett.
ECEN4503 Random Signals Lecture #39 15 April 2013 Dr. George Scheets n Read: 10.3, 11.1 n Problems: 11.1, 11.4, 11.15, (1 st Edition) n Problems:
ECEN5633 Radar Theory Lecture #24 9 April 2015 Dr. George Scheets n Read 5.1 & 5.2 n Problems 4.3, 4.4, 5.1 n.
ECEN5633 Radar Theory Lecture #29 28 April 2015 Dr. George Scheets n Read 6.2 n Problems 6.2, Web 17 & 18 n Exam.
ECEN4523 Commo Theory Lecture #38 16 November 2015 Dr. George Scheets n Read 8.6 & 8.7 n Problems: 8.6-1, 3,
ANALOG SPECTRUM ANALYSIS. TOPICS Bank-of-filters spectrum analyzer Sequential spectrum analyzer –Variable tuning filter spectrum analyzer –Superheterodyne.
 This chapter describes how the link- power budget calculations are made.  In this text [square] bracket are used to denote decibel quantities using.
Binary data to transmit The faster the bit rate, the more energy is spread on the spectrum + a - a a2T0a2T0 s(t) T0T0 1/T 0 2/T 0 Frequency Time.
RF Spectrum Analyzer Dong-Yo Jheng 2012/07/12. RF (Radio Frequency) Frequency: 3 kHz ~ 300 GHz 2.
EEE381B Pulsed radar A pulsed radar is characterized by a high power transmitter that generates an endless sequence of pulses. The rate at which the pulses.
ECEN5533 Modern Communications Theory Lecture #91 February 2016 Dr. George Scheets n Read 5.6 n Problems 5.14 – 5.16 n Exam #1, 10 February.
Integrated Phased Array Systems in Silicon
ECEN4523 Commo Theory Lecture #29 26 October 2015 Dr
ECEN4523 Commo Theory Lecture #42 30 November 2015 Dr. George Scheets n Read 11.3 n Problems: & 4 n Final.
ECEN5533 Modern Commo Theory Lesson # February 2016 Dr
ECEN5533 Modern Commo Theory Dr. George Scheets Lesson #30 28 March 2016 n Problems: 6.1 – 6.3 n Exam #2: Monday, 4 April n Design #2 due Friday, 8 April.
ECEN5533 Modern Commo Theory Dr. George Scheets Lesson #36 11 April 2016 n Read 7.1 – 7.2 n Problems: 6.4, 6.5, 9.8 n Corrected tests due Friday, 15 April.
Dr. Yeffry Handoko Putra, M.T
Communication 40 GHz Anurag Nigam.
Microwave Motion Sensor Module
Eng.: Ahmed Abdo AbouelFadl
ECEN5553 Telecom Systems Dr
ECEN5533. Modern Communications Theory Lecture #6. 25 January 2016 Dr
ECEN5533 Modern Commo Theory Lesson # February 2016 Dr
ECEN5533 Modern Commo Theory Dr. George Scheets. Lesson #39
Generation of CS-UWB DDL
Presentation transcript:

ECEN5633 Radar Theory Lecture #28 23 April 2015 Dr. George Scheets n Read 6.4 n Problems 6.1, Web 15 & 16 n Design Problem Rework u Due by midnight, 28 April (Live) u Due by midnight, 29 April (DL) n Quiz Rework u Due by midnight, 29 April (Live) n Final Exam u 0800 – 0950, Thursday, 7 May u No Later than Thursday, 14 May

Winning Design n Replogle & Washbourne n 5.35 GHz center frequency n 93 element phased array, G = 17,517 n LNA with lowest Temp & Gain = 1,300 n Single Pulse, Coherent Detection u.9486 of pulse energy captured n Chirp u Sweep range of MHz n $12.73 Million

Spread Spectrum Radar n Uses > minimum required BW n Chirp Radar is a form u P r still valid (RF power out of antenna) u Reduce P r by 3 dB prior to calculating P(Hit) F Direct Conversion Receiver

Example) Direct Conversion Receiver 2 μwatt Mixer & Matched Filter 1/4 watt signal A watts noise Detector Standard 2 μwatt Mixer & Matched Filter 1/16 watt signal A/2 watts noise Detector Chirp

F-22 Raptor Uses Frequency Hopping Source: Wikipedia

Estimating FH Ambiguity X X X X X X X X X X OriginalClone Overlap Time Frequency

Estimating FH Ambiguity X X X X X X X X X X OriginalNo Shift Overlap 5

Estimating FH Ambiguity X X X X X X X X X X Original1 Shift Right Overlap 5 0

Estimating FH Ambiguity X X X X X X X X X X Original1 Shift Right 1 Shift Up Overlap 5 0 4

Estimating FH Ambiguity X X X X X X X X X X Original1 Shift Right 1 Shift Up 1 Shift Left Overlap

Estimating FH Ambiguity X X X X X X X X X X Original1 Shift Right 1 Shift Up 2 Shifts Left Overlap

Estimating FH Ambiguity Continuing with this process… (Need 4 more columns & 4 more rows to complete) X X X X X Original

Estimating FH Ambiguity X X X X X X X X X X OriginalClone Overlap

Estimating FH Ambiguity OriginalNo Shift Overlap 5 X X X X X X X X X X

Estimating FH Ambiguity Original 1 Shift Right Overlap 5 0 X X X X X X X X X X

Estimating FH Ambiguity Original 1 Shift Right 1 Shift Up Overlap X X X X X X X X X X

Estimating FH Ambiguity Original 1 Shift Right 1 Shift Up 1 Shift Left Overlap X X X X X X X X X X

Estimating FH Ambiguity Original 1 Shift Right 1 Shift Up 2 Shifts Left Overlap X X X X X X X X X X

Estimating FH Ambiguity Original Overlap X X X X X Continuing with this process… (Need 4 more columns & 4 more rows to complete).

Estimating FH Ambiguity X X X X X Original Overlap Costas Signal (Need 4 more columns & 4 more rows to complete).

Costas Signals FH Ambiguity Overlap (Estimated Ambiguity Function) n FH Sequences with 1 coincidence n 5*4*3*2 = 120 sequences u With 5 hops per pulse u 1 hop to each frequency n 40 possible Costas sequences u Best Choice

Example: Frequency Hopping Ambiguity Function source: Levanon,, RADAR PRINCIPLES Wiley Interscience,, 1988