1 5.3. Noise characteristics Reference: [4] The signal-to-noise ratio is the measure for the extent to which a signal can be distinguished from the background.

Slides:



Advertisements
Similar presentations
Noise Lecture 6.
Advertisements

Feedback of Amplifier Circuits I
RF Communication Circuits
Lecture 4: Signal Conditioning
Feedback Section 8.1. Topics General Feedback Examples of Feedback Circuits – Bandwidth Extension – Gain Sensitivity – Input and Output Impedance Types.
Summing Amplifier -+-+ RFRF R4R4 + IFIF I4I4 VoVo R3R3 + I3I3 V3V3 V4V4 R2R2 + I2I2 V2V2 R1R1 + I1I1 V1V1 RLRL V id.
Complex Power – Background Concepts
Chapter 3 Network Noise and Intermodulation Distortion
Voltage-Series Feedback
Ref:080114HKNOperational Amplifier1 Lecture 1 Op-Amp Introduction of Operation Amplifier (Op- Amp) Analysis of ideal Op-Amp applications Comparison of.
Announcements Troubles with Assignments… –Assignments are 20% of the final grade –Exam questions very similar (30%) Deadline extended to 5pm Fridays, if.
1 Chapter 6 Low-Noise Design Methodology. 2 Low-noise design from the system designer’s viewpoint is concerned with the following problem: Given a sensor.
Electrical Noise Wang C. Ng.
Low Noise Amplifier Design
1 Chapter 5 Sensors and Detectors A detector is typically the first stage of a communication system. Noise in this stage may have significant effects on.
Equivalent Circuits - Resistors Resistor noise is dominated by thermal noise: Noiseless Resistor Noisy Resistor Noise Source.
Announcements Assignment 3 due now, or by tomorrow 5pm in my mailbox Assignment 4 posted, due next week –Thursday in class, or Friday 5pm in my mailbox.
Frequency Characteristics of AC Circuits
Introduction to Frequency Selective Circuits
ECE 340 ELECTRONICS I OPERATIONAL AMPLIFIERS. OPERATIONAL AMPLIFIER THEORY OF OPERATION CHARACTERISTICS CONFIGURATIONS.
Analogue Electronics II EMT 212/4
Chapter 8 Copyright © The McGraw-Hill Companies, Inc. Permission required for reproduction or display.
Noise characteristics Reference: [4] The signal-to-noise ratio is the measure for the extent to which a signal can be distinguished from the background.
Topic 28: Direct Sensing 28.1 Sensing devices
Sensitivity System sensitivity is defined as the available input signal level Si for a given (SNR)O Si is called the minimum detectable signal An expression.
ECE 590 Microwave Transmission for Telecommunications Noise and Distortion in Microwave Systems March 18, 25, 2004.
EBB Chapter 2 SIGNALS AND SPECTRA Chapter Objectives: Basic signal properties (DC, RMS, dBm, and power); Fourier transform and spectra; Linear systems.
ECE 352 Electronics II Winter 2003 Ch. 8 Feedback 1 Feedback *What is feedback?Taking a portion of the signal arriving at the load and feeding it back.
General Characteristics of Negative-Feedback Amplifiers
Lecture 1 Op-Amp Introduction of Operation Amplifier (Op- Amp) Analysis of ideal Op-Amp applications Comparison of ideal and non-ideal Op-Amp Non-ideal.
Module 4 Operational Amplifier
OPERATIONAL AMPLIFIERS. BASIC OP-AMP Symbol and Terminals A standard operational amplifier (op-amp) has; V out is the output voltage, V+ is the non-inverting.
General Characteristics of Negative-Feedback Amplifiers
UNIT – III : OP-AMPS AND APPLICATIONS
Grossman/Melkonian Chapter 3 Resistive Network Analysis.
1 LECTURE 7. Contents 5.Sources of errors 5.1.Impedance matching Non-energetic matching Energetic matching Non-reflective matching To.
Chapter 4 Bipolar Junction Transistors
1 Amplifiers. Equivalent Circuit of a Voltage Amplifier G vo V i IoIo RoRo VoVo ViVi RiRi IiIi Amplifier ViVi VoVo (a) Black Box Representation.
TELECOMMUNICATIONS Dr. Hugh Blanton ENTC 4307/ENTC 5307.
Teachers Name - Suman Sarker Subject Name Subject Name – Industrial Electronics (6832) Department Department – Computer (3rd) IDEAL INSTITUTE OF SCIENCE.
Electronics The sixteenth and seventeenth Lectures Thirteenth week 3 -6/ 2/ 1437 هـ أ / سمر السلمي.
ECE 4710: Lecture #37 1 Link Budget Analysis  BER baseband performance determined by signal to noise ratio ( S / N ) at input to detector (product, envelope,
MALVINO Electronic PRINCIPLES SIXTH EDITION. Chapter 1 Introduction.
19.4 Load-dependent properties of resonant converters
Noise characteristics Reference: [4] The signal-to-noise ratio is the measure for the extent to which a signal can be distinguished from the background.
CHAPTER 1 Part 2.1  Noise.
Chapter 3 Feedback Circuits BY: PN NORIZAN BINTI MOHAMED NAWAWI EKT 214 – Analog Electronic CIRCUIT II.
Instrumentation Amplifiers Passive Transducer Measurement Configuration: For passive transducers in a bridge configuration the voltage of interest is the.
1 5. SOURCES OF ERRORS Low-noise design: noise matching Optimum source resistance 5.4. Low-noise design: noise matching The Optimum.
Noise characteristics Reference: [4] The signal-to-noise ratio is the measure for the extent to which a signal can be distinguished from the background.
Powerpoint Templates Computer Communication & Networks Week # 04 1 Lecture only.
Chapter 19 Principles of Electric Circuits, Conventional Flow, 9 th ed. Floyd © 2010 Pearson Higher Education, Upper Saddle River, NJ All Rights.
1 E n v i r o n m e n t 1 5. SOURCES OF ERRORS the environment, Measuring errors can occur due to the undesirable interaction between the measurement system.
Communication Link Analysis Pranesh Sthapit Chapter 5.
Guided by - Prof. N A Gajjar Prepared by : Hemaxi Halpati : Priyank Hirani : Manish Jatiya : Rakesh.
Module 2 Operational Amplifier Basics
Operational Amplifier
Analogue Electronic 2 EMT 212
ENE 429 Antenna and Transmission Lines
5.3. Noise characteristics
OP-AMPS: basics & Inverting-amplifier
International Africa University Faculty of Engineering Eight Semester
Feedback Amplifiers.
POWER AMPLIFIERS.
ELEC 202 Circuit Analysis II
Medical electronics II
5.3. Noise characteristics
Chapter 2 SIGNALS AND SPECTRA Chapter Objectives:
CHAPTER 59 TRANSISTOR EQUIVALENT CIRCUITS AND MODELS
Presentation transcript:

Noise characteristics Reference: [4] The signal-to-noise ratio is the measure for the extent to which a signal can be distinguished from the background noise: SNR msr . S msr N msr References: [1] and [2] It is assumed that the signal power, S msr, and the noise power, N msr, are dissipated in the noiseless input impedance of the measurement system Signal-to-noise ratio, SNR 5. SOURCES OF ERRORS Noise characteristics Signal-to-noise ratio, SNR

2 Example: Calculation of the signal-to-noise ratio at the (noiseless) input of a measurement system Z s = R s + X s Z msr = R msr + X msr Measurement objectMeasurement system V in 1) S in , V in rms 2 R in  Z s + Z in  2 2) N in , V n rms 2 R in  Z s + Z in  2 Noiseless V msr 3) SNR in  V in rms 2 V n rms 2 V in rms 2 4 k T R   f n 

3 The concept of noise factor and noise figure was developed in the 1940s. In spite of several serious limitations, this concept is still widely used today. (About the limitation of the noise factor concept, we will talk in the end of this Section.) Meanwhile, let us start from definitions Noise factor, F, and noise figure, NF 5. SOURCES OF ERRORS Noise characteristics Noise factor, F, and noise figure, NF Reference: [2]

4 The noise factor, F, compares the noise performance of a device (measurement system) to that of an ideal (noiseless) device: F , NoNo*NoNo* 5. SOURCES OF ERRORS Noise characteristics Noise factor, F, and noise figure, NF where N o is the noise power at the output of the noisy measurement system, with the noisy measurement signal connected to the input, and N o * is the noise power at the output of the same system, which is now considered to be free of noise. The output noise then comes only from the measured input signal. References: [1] and [2] A. Definitions

5 The noise power of an ideal (noiseless) measurement system is due to the thermal noise power of the source resistance. Therefore, the noise factor can also be written as F , N o N os 5. SOURCES OF ERRORS Noise characteristics Noise factor, F, and noise figure, NF where N os is the contribution to the output noise power due to the source noise. References: [2]

6 An equivalent definition of noise factor is the input SNR divided by the output SNR References: [2] 5. SOURCES OF ERRORS Noise characteristics Noise factor, F, and noise figure, NF where A P is the power amplification, defined as S o /S msr. F F  N o N o * F , SNR msr SNR o N o S o N o * S o  N o S msr A P N msr A P S o  S msr /N msr S o /N o 

7 5. SOURCES OF ERRORS Noise characteristics Noise factor, F, and noise figure, NF RsRs Measurement objectMeasurement system RLRL G e ns F  NoNo*NoNo* V no 2 /R L 4 kTR s B n (G A V ) 2 /R L  V no 2 4 kTR s B n (G A V ) 2  VoVo Voltage gain, A V V msr B. Calculation of noise factor. Example

8 5. SOURCES OF ERRORS Noise characteristics Noise factor, F, and noise figure, NF F  V no 2 4 kTR s B n (G A V ) 2 The following three characteristics of noise factor can be seen by examining the obtained equation: 1. It is independent of load resistance R L, 2. It does depend on source resistance R s, 3.If the measurement system were completely noiseless, the noise factor would equal one. References: [2] Conclusions:

9 5. SOURCES OF ERRORS Noise characteristics Noise factor, F, and noise figure, NF Noise factor expressed in decibels is called noise figure (NF) : References: [2] NF  10 log F. Due to the bandwidth term in the denominator there are two ways to specify the noise factor: (1) a spot noise, measured at specified frequency over a 1  Hz bandwidth,or (2) an integrated, or average noise measured over a specified bandwidth. C. Noise figure F  V no 2 4 kTR s B n (G A V ) 2

10 5. SOURCES OF ERRORS Noise characteristics Noise factor, F, and noise figure, NF References: [2] We will consider the following methods for the measurement of noise factor: (1) the single-frequency method, and (2) the white noise method. E. Measurement of noise factor 1) Single-frequency method. According to this method, a sinusoidal test signal V in (rms) is increased until the output power doubles. Under this condition the following equation is satisfied: RsRs Measurement objectMeasurement system RLRL V in VoVo Voltage gain, A V V msr G

11 5. SOURCES OF ERRORS Noise characteristics Noise factor, F, and noise figure, NF References: [2] RsRs Measurement objectMeasurement system RLRL V in VoVo Voltage gain, A V V msr 1) (V in G A V ) 2 + V no 2  2 V no 2 V in  0 2) V no 2  (V in G A V ) 2 V in  0 3) F  No*No* V no 2 V in  0 (V in G A V ) 2 4 kTR s B n (G A V ) 2  V in 2 4 kTR s B n  G

12 5. SOURCES OF ERRORS Noise characteristics Noise factor, F, and noise figure, NF References: [2] F V in 2 4 kTR s B n  The disadvantage of the single-frequency meted is that the noise bandwidth of the measurement system must be known. A better method of measuring noise factor is to use a white noise source. 2) White noise method. This method is similar to the previous one. The only difference is that the sinusoidal signal generator is now replaced with a white noise current source:

13 5. SOURCES OF ERRORS Noise characteristics Noise factor, F, and noise figure, NF Measurement objectMeasurement system RLRL i in ( f ) VoVo Voltage gain, A V V in 1) (i in R s G A V ) 2 B n + V no 2  2 V no 2 i t  0 2) V no 2  (i in R s G A V ) 2 B n i t  0 3) F  No*No* V no 2 i t  0 (i in R s G A V ) 2 B n 4 kTR s B n (G A V ) 2  i in 2 R s 4 kT  RsRs G

14 i in 2 R s 4 kT  5. SOURCES OF ERRORS Noise characteristics Noise factor, F, and noise figure, NF F The noise factor is now a function of only the test noise signal, the value of the source resistance, and temperature. All of these quantities are easily measured. Neither the gain nor the noise bandwidth of the measurement system need be known.

15 5. SOURCES OF ERRORS Noise characteristics Calculating SNR and input noise voltage from NF Calculating SNR and input noise voltage from NF Reference: [2]

16 5. SOURCES OF ERRORS Noise characteristics Noise factor, F, and noise figure, NF 1. Increasing the source resistance may decrease the noise factor, while increasing the total noise in the circuit. 2. If a purely reactive source is used, noise factor is meaningless, since the source noise is zero, making the noise actor infinite. 3.When the measurement system noise is only a small part of of the source thermal noise (as with some low-noise FETs), the noise factor requires taking the ratio of two almost equal numbers. this can produce inaccurate results. References: [2] The concept of noise factor has three major limitations: D. Limitations of the noise factor concept F  V no 2 4 kTR s B n (G A V ) 2 The concept of noise factor has three major limitations:

17 A direct comparison of two noise factors is only meaningful if both are measured at the same source resistance. Noise factors varies with the bias conditions, frequency, and temperature as well as source resistance, and all of these should be defined when specifying noise factor. Knowing the noise factor for one value of source does not allow the calculation of the noise factor at other values of resistance. This is because both the source noise and measurement system noise vary as the source resistance is changed. 5. SOURCES OF ERRORS Noise characteristics Noise factor, F, and noise figure, NF References: [2] Noise factor is usually specified for matched devices and is a popular figure of merit in RF applications.

18 5. SOURCES OF ERRORS Noise characteristics Two noise source model Reference: [2] Two noise source model A more recent (1956) approach and one that overcomes the limitations of noise factor, is to model the noise in terms of an equivalent noise voltage and current. The actual network can be modeled as a noise-free network with two noise generators, e n and i n, connected to its input: RsRs Measurement objectMeasurement system RLRL G V in VoVo V msr inin R msr Noiseless AVAV enen

19 5. SOURCES OF ERRORS Noise characteristics Two noise source model Reference: [2] The e n source represents the network noise that exists when R s equals zero, and the i n source represents the additional noise that occurs when R s does not equal zero, The use of these two noise generators plus a complex correlation coefficient completely characterizes the noise performance of the network. At relatively low frequencies, the correlation between the e n and i n noise sources can be neglected. RsRs Measurement objectMeasurement system RLRL G V in VoVo V msr enen inin R msr Noiseless AVAV

20 5. SOURCES OF ERRORS Noise characteristics Two noise source model A. Measurement of e n and i n

21 5. SOURCES OF ERRORS Noise characteristics Two noise source model Reference: Example: Input voltage and current noise spectra (ultralow noise, high speed, BiFET op-amp AD745) enen inin

22 5. SOURCES OF ERRORS Noise characteristics Two noise source model Assuming no correlation between the noise sources, the total equivalent input noise voltage of the whole system can be found by superposition. RsRs Measurement objectMeasurement system RLRL G V in VoVo V msr enen inin R msr Noiseless AVAV B. Total input noise as a function of the source impedance

23 5. SOURCES OF ERRORS Noise characteristics Two noise source model V n in rms =  4kTR s B + V n rms 2 + (I n rms R s ) 2. RsRs Measurement objectMeasurement system RLRL G V in VoVo V msr enen inin R msr Noiseless AVAV GiGi + [I n rms R s R msr /(R s +R msr ) A V ] 2, 2) V n in rms 2 =V o 2 / (G A V ) 2, + [V n rms G A V ] 2 1) V o rms 2 = 4 kTR s B [ R msr /(R s +R msr ) A V ] 2 G

24 5. SOURCES OF ERRORS Noise characteristics Two noise source model V n in rms =  4kTR s B + V n rms 2 + (I n rms R s ) 2. Example: Typical total input equivalent noise voltage as a function of R s v n in rms, nV/Hz 0.5 e n = 2 nV/Hz 0.5, i n = 20 pA /Hz 0.5 enen  4kTR s B R s,  i n R s

25 5. SOURCES OF ERRORS Noise characteristics Two noise source model V n in rms =  4kTR s B + V n rms 2 + (I n rms R s ) 2. RsRs Measurement objectMeasurement system RLRL G V in VoVo Voltage gain, A V V msr We now can connect an equivalent noise generator in series with input signal voltage source to model the total input voltage of the whole system. V n in

26 Next lecture Next lecture: