ECEN4523 Commo Theory Lecture #42 30 November 2015 Dr. George Scheets n Read 11.3 n Problems: 11.1-3 & 4 n Final.

Slides:



Advertisements
Similar presentations
Prof. Ramin Zabih (CS) Prof. Ashish Raj (Radiology) CS5540: Computational Techniques for Analyzing Clinical Data.
Advertisements

ECEN5533 Modern Communications Theory Lecture #119 August 2014 Dr. George Scheets n Review Chapter
ECEN3714 Network Analysis Lecture #27 23 March 2015 Dr. George Scheets n Problems: thru n Quiz #7.
Random Processes and LSI Systems What happedns when a random signal is processed by an LSI system? This is illustrated below, where x(n) and y(n) are random.
ECEN5633 Radar Theory Lecture #25 14 April 2015 Dr. George Scheets n Read 5.3 n Problems 5.3, Web10 & 11 n Reworked.
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.
AM modulation essentially consists of the TD multiplication of the modulating signal by a cosine carrier. In the FD, AM modulation effected a frequency.
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:
ECEN5633 Radar Theory Lecture #28 23 April 2015 Dr. George Scheets n Read 6.4 n Problems 6.1, Web 15 & 16 n Design.
ECEN4503 Random Signals Lecture #39 21 April 2014 Dr. George Scheets n Read 10.1, 10.2 n Problems: 10.3, 5, 7, 12,14 n Exam #2 this Friday: Mappings →
ECEN3713 Network Analysis Lecture #25 11 April 2006 Dr. George Scheets Exam 2 Results: Hi = 89, Lo = 30, Ave. = Standard Deviation = Quiz 8.
ECEN3713 Network Analysis Lecture #21 28 March 2006 Dr. George Scheets n Read Chapter 15.4 n Problems: 13.78, 15.5 – 15.7 n Thursday's Quiz u Series or.
ECEN5553 Telecom Systems Dr. George Scheets Week #2 Read [3] "A Roadmap to 100G Ethernet at the Enterprise Data Center" Exam #1 Lecture 15, 21 September.
ECEN4533 Data Communications Lecture #1511 February 2013 Dr. George Scheets n Review C.1 - C.3 n Problems: Web 7, 8, & 9 n Quiz #1 < 11 February (Async.
EEE Chapter 6 Matched Filters Huseyin Bilgekul EEE 461 Communication Systems II Department of Electrical and Electronic Engineering Eastern Mediterranean.
ECEN3714 Network Analysis Lecture #21 2 March 2015 Dr. George Scheets n Read 14.7 n Problems: 14.5, 7, & 55 n.
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,
ECEN5633 Radar Theory Lecture #19 24 March 2015 Dr. George Scheets n Read 13.3, 9; 9.1 n Problems Web 4, 5, &
ECEN4523 Commo Theory Lecture #12 14 September 2015 Dr. George Scheets n Read Chapter 4.1 – 4.2 n Problems:
Chapter 4: Baseband Pulse Transmission Digital Communication Systems 2012 R.Sokullu1/46 CHAPTER 4 BASEBAND PULSE TRANSMISSION.
ECEN4503 Random Signals Lecture #6 26 January 2014 Dr. George Scheets n Read: 3.2 & 3.3 n Problems: 2.28, 3.3, 3.4, 3.7 (1 st Edition) n Problems: 2.61,
ECEN4503 Random Signals Lecture #24 10 March 2014 Dr. George Scheets n Read 8.1 n Problems , 7.5 (1 st & 2 nd Edition) n Next Quiz on 28 March.
ECEN5633 Radar Theory Lecture #17 10 March 2015 Dr. George Scheets n Read 12.2 n Problems 11.5, 8, & 12.5 n Corrected.
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.
ECEN4523 Commo Theory Lecture #26 19 October 2015 Dr. George Scheets n Read 6.2 (skim quantization material)
( II ) This property is known as “convolution” ( الإلتواء التفاف ) From Chapter 2, we have Proof is shown next Chapter 3.
ECEN4503 Random Signals Lecture #18 24 February 2014 Dr. George Scheets n Read 5.3 & 5.5 n Problems 5.1, 5.4, 5.11 n Exam #1 Friday n Quiz 4 Results Hi.
Baseband Receiver Receiver Design: Demodulation Matched Filter Correlator Receiver Detection Max. Likelihood Detector Probability of Error.
ECEN5633 Radar Theory Lecture #13 24 February 2015 Dr. George Scheets n Read 11.1 – 11.4 n Problems 3.14, 18,
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.
ECEN5533 Modern Communications Theory Lecture #111 January 2016 Dr. George Scheets n Review Chapter
ECEN5633 Radar Theory Lecture #29 28 April 2015 Dr. George Scheets n Read 6.2 n Problems 6.2, Web 17 & 18 n Exam.
Continuous Random Variables Lecture 24 Section Tue, Oct 18, 2005.
Auditory Perception: 2: Linear Systems. Signals en Systems: To understand why the auditory system represents sounds in the way it does, we need to cover.
ECEN3513 Signal Analysis Lecture #4 28 August 2006 n Read section 1.5 n Problems: 1.5-2a-c, 1.5-4, & n Quiz Friday (Chapter 1 and/or Correlation)
ECEN4523 Commo Theory Lecture #38 16 November 2015 Dr. George Scheets n Read 8.6 & 8.7 n Problems: 8.6-1, 3,
Copyright 1998, S.D. Personick. All Rights Reserved. Telecommunications Networking I Lectures 4&5 Quantifying the Performance of Communication Systems.
ECEN4523 Commo Theory Lecture #29 26 October 2015 Dr
ECEN4503 Random Signals Lecture #30 31 March 2014 Dr. George Scheets n Problems 8.7a & b, 8.11, 8.12a-c (1st Edition) n Problems 8.11a&b, 8.15, 8.16 (2nd.
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.
ENGS2613 Intro Electrical Science Week 12 Dr. George Scheets
OptiSystem applications: Matched filter analysis
ELEC4600 Radar and Navigation Engineering
ENGS2613 Intro Electrical Science Week 15 Dr. George Scheets
Chapter 6 Matched Filters
Continuous Random Variables
ECEN5553 Telecom Systems Dr
ECEN5533. Modern Communications Theory Lecture #4. 20 January 2015 Dr
ECEN5533. Modern Communications Theory Lecture #12. 8 February 2016 Dr
ECEN5533. Modern Communications Theory Lecture #6. 25 January 2016 Dr
ECEN5533 Modern Commo Theory Dr. George Scheets. Lesson #34
Chapter 6 Matched Filters
ECEN5533 Modern Commo Theory Lesson # February 2016 Dr
ECEN5533 Modern Commo Theory Dr. George Scheets. Lesson #39
Lecture 1.30 Structure of the optimal receiver deterministic signals.
Signals and Systems EE235 Lecture 13 Leo Lam ©
Basic Image Processing
2.0 Probability Concepts definitions: randomness, parent population, random variable, probability, statistical independence, probability of multiple events,
Continuous Random Variables
Continuous Random Variables
Assignment # 3 Chapter 4 End of Chapter questions P-4.6 Page 97
From Chapter 2, we have ( II ) Proof is shown next
Presentation transcript:

ECEN4523 Commo Theory Lecture #42 30 November 2015 Dr. George Scheets n Read 11.3 n Problems: & 4 n Final Exam, 1000 – 1150, Friday, 11 December (Live) u Remote DL students < 18 December n Quiz 9 Results u Hi = 10, Low = 1, Ave = 6.33, σ = 3.40

ECEN4523 Commo Theory Lecture #43 2 December 2015 Dr. George Scheets n Problems: & 6 n Final Exam, 1000 – 1150, Friday, 11 December (Live) u Remote DL students < 18 December

ECEN4523 Commo Theory Lecture #44 4 December 2015 Dr. George Scheets n Problems: & n Final Exam, 1000 – 1150, Friday, 11 December (Live) u Remote DL students < 18 December

Sum of S.I. Random Variables n Given a Uniformly Distributed noise voltage N... Time Volts 0

Bin Count Time Volts 0

...With Uniform Voltage PDF... n volts f N (n) 0+1 1/2 Suppose you add the number 6 to this. What's the output PDF of N+6?

What Happens to Time Domain Signal? n Noise voltage N, centered about 0 volts n Now you add 6 volts, yielding N + 6 Time Volts 0

Time domain signal is now... Time Volts 6

PDF of Y = N + 6 y volts f Y (y) /2

f Y (y) = f N (n) f 6 (n) n volts f N (n) 0+1 1/2 n volts f 6 (n) +6 1 Convolution of an arbitrary function with a delta function Shifts and centers function's graph to delta function's location.

PDF of Y = N + 6 y volts f Y (y) /2

Add together two die rolls x dots f die roll #1 (x) 1/6 x dots f die roll #2 (x) /

Add together two S.I. die rolls y dots f sum (y) /36 4/36 2/36 1/36 3/36 5/36

Ex) System with Ideal LP Filter W = 10*R b = 10 MHz n Signal Power out ≈ 625 watts u +25 v-peak square waves: Logic 1 u -25 v-peak square wave: Logic 0 n Noise Power out u Gaussian Distributed u Zero Mean (V DC = 0) u σ 2 N = E[N 2 ] = A[n(t) 2 ] = 500(10 9 )No watts

BPSK with LP Filter Example n Suppose Noise Power out of LP Filter = 60 watts u SNR = 625/60 = n Set σ N 2 = 500*10 9 No = 60 u No = 120( ) watts/Hz n P(BE) = Q(25/7.746) = Q(3.227) = 625.5(10 -6 )

Matched Filters nFnFnFnFilter where h(t) matches the pulse shape uhuhuhuh(t) = p(T-t) nNnNnNnNote h(t) here is the impulse response of an Integrate and Dump circuit. nMnMnMnMatched Filters maximize output SNR t p(t) p(0) p(3) 30 t p(-t) α -30 p(3) p(0) t p(3-t) = h(t) p(3) p(0) 30

Matched Filters n Filter where h(t) matches the pulse shape u h(t) = p(T-t) t p(t) p(0) 30 p(3) t p(-t) -30 p(0) p(3) t p(3-t) = h(t) 30 p(0) p(3)

BPSK with LP Filter Example n Suppose Noise Power out of LP Filter = 60 watts u SNR = 625/60 = n Set σ N 2 = 500*10 9 No = 60 u No = 120( ) watts/Hz n P(BE) = Q(25/7.746) = Q(3.227) = 625.5(10 -6 )

BPSK with Matched Filter Example n Suppose No = 120( ) watts/Hz (same value as with LP Filter example) n P(BE) = Q[(25*10 -6 )/(54.77*10 -9 )] = Q(456.4) = 0 n Signal Power out of integrator = (25*10 -6 ) 2 = 625( ) watts n Noise Power out of integrator = 25No/10 6 = 3( ) watts n SNR = 208,333

Final Exam n Open Book & Notes n Comprehensive u Readings u Notes u HW u Power Point u Overlaps more likely!