ECE 590 Microwave Transmission for Telecommunications Noise and Distortion in Microwave Systems March 18, 25, 2004.

Slides:



Advertisements
Similar presentations
Noise Lecture 6.
Advertisements

F( )xy = f(x) Any f(x) can be represented as a Taylor series expansion: a 0 represents a DC offset a 1 represents the linear gain a 2 represents the 2.
Lecture 4: Signal Conditioning
Chapter 3. Noise Husheng Li The University of Tennessee.
Chapter 1 Problems ECET 214 Prof. Park NJIT.
Two-port networks Review of one ports Various two-port descriptions
Describe and analyze the operation of several types of comparator circuits. Describe and analyze the operation of several types of summing amplifiers.
Chapter 3 Network Noise and Intermodulation Distortion
Diode Circuits By Professor Syed Idris Syed Hassan Sch of Elect. & Electron Eng Engineering Campus USM Nibong Tebal SPS Penang.
Types Of Mixers In Radar Receivers
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.
Lecture 31 Electrical Instrumentation. Lecture 32 Electrical Instrumentation Electrical instrumentation is the process of acquiring data about one or.
Lecture161 Instrumentation Prof. Phillips March 14, 2003.
Fiber-Optic Communications
Prof. ParkELC 2221 Lecture 1: Introductory Topics Prof. Park ELC 222 Essex County College.
1 School of Electrical, Electronics and Computer Engineering University of Newcastle-upon-Tyne Noise in Communication Systems Noise in Communication Systems.
CHAPTER Noise 5.2 Transmission Media & EM Propagations.
RFIC Design and Testing for Wireless Communications A PragaTI (TI India Technical University) Course July 18, 21, 22, 2008 Lecture 4: Testing for Noise.
RFIC Design and Testing for Wireless Communications A PragaTI (TI India Technical University) Course July 18, 21, 22, 2008 Lecture 3: Testing for Distortion.
1 Mixers  Mixers plays an important role in both the transmitter and the receiver  Mixers are used for down frequency conversion in the receiver  Mixers.
EKT314/4 Electronic Instrumentation
EKT314/4 Electronic Instrumentation
COMMUNICATION SYSTEM EECB353 Chapter 4 NOISE ANALYSIS
Kent Bertilsson Muhammad Amir Yousaf. DC and AC Circuit analysis  Circuit analysis is the process of finding the voltages across, and the currents through,
Differential Amplifier
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.
Noise and Interference Any signal or phenomena which degrades signal to noise ratio (S/N). External 1.Thermal noise (raw or amplified) 2.On-channel unwanted.
1 Passive components and circuits - CCP Lecture 4.
Device Noise Two figures of merit for noisy devices
ECE 5233 Satellite Communications Prepared by: Dr. Ivica Kostanic Lecture 9: Satellite link design (Section 4.3) Spring 2014.
1 Fundamentals of Microelectronics  CH1 Why Microelectronics?  CH2 Basic Physics of Semiconductors  CH3 Diode Circuits  CH4 Physics of Bipolar Transistors.
Amplitude Modulation 2.2 AM RECEIVERS
CHAPTER 2 Amplitude Modulation 2-3 AM RECEIVERS. Introduction AM demodulation – reverse process of AM modulation. Demodulator: converts a received modulated-
Solid State Microwave Oscillators Convert dc energy to microwave signals Can be used as generators in all communication systems, radars, electronic counter.
CHAPTER Noise 5.2 Transmission Media & EM Propagations EKT 231 : COMMUNICATION SYSTEM CHAPTER 5 : NOISE IN COMMUNICATION SYSTEM.
Chapter 11 Amplifiers: Specifications and External Characteristics.
Chapter 6. Effect of Noise on Analog Communication Systems
CHAPTER 2 Amplitude Modulation 2-3 AM RECEIVERS. Introduction AM demodulation – reverse process of AM modulation. Demodulator: converts a received modulated-
Amplifiers Amplifier Parameters Gain = Po/Pi in dB = 10 log (Po/Pi)
1 LECTURE 7. Contents 5.Sources of errors 5.1.Impedance matching Non-energetic matching Energetic matching Non-reflective matching To.
Chapter 10: Noise In Microwave Circuits
AM RECEPTION Introduction
ELECTRICAL ENGINEERING: PRINCIPLES AND APPLICATIONS, Third Edition, by Allan R. Hambley, ©2005 Pearson Education, Inc. Chapter 11 Amplifiers: Specifications.
TELECOMMUNICATIONS Dr. Hugh Blanton ENTC 4307/ENTC 5307.
EE 230: Optical Fiber Communication Lecture 12
Electronic Noise Noise phenomena Device noise models
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,
Chapter 6 Noise. Noise is a term generally used to refer to any undesired disturbances that mask the received signal in a communication system. Thermal.
CHAPTER 1 Part 2.1  Noise.
Noise in communication system
CHAPTER 1 (cont…) Part 2.1  Noise. Objectives To differentiate the types of noise To calculate the thermal noise generated by a resistor To calculate.
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.
PRESENTATION ON:  Voltage Amplifier Presentation made by: GOSAI VIVEK ( )
December 1997 Circuit Analysis Examples 걼 Hairpin Edge Coupled Filter 걼 Bipolar Amplifier 걼 Statistical Analysis and Design Centering 걼 Frequency Doubler.
EKT 441 MICROWAVE COMMUNICATIONS
Eeng Chapter4 Bandpass Signalling  Bandpass Filtering and Linear Distortion  Bandpass Sampling Theorem  Bandpass Dimensionality Theorem  Amplifiers.
1 Noise Analysis Electrical Noise Electrical noise is defined as any undesirable electrical energy. Figure 57 shows the effect of noise on an electrical.
Noise in Communication Systems
Comparison Between AM and FM Reception. 21/06/20162 FM Receiver.
Lets Design an LNA! Anurag Nigam.
5.1 Noise 5.2 Transmission Media & EM Propagations
Chapter 6 Noise.
Sampling rate conversion by a rational factor
International Africa University Faculty of Engineering Eight Semester
INFORMATION CAPACITY AND NOISE
CHAPTER 59 TRANSISTOR EQUIVALENT CIRCUITS AND MODELS
Presentation transcript:

ECE 590 Microwave Transmission for Telecommunications Noise and Distortion in Microwave Systems March 18, 25, 2004

Random Processes

Expected Values

Autocorrelation and Power Spectral Density

Noise in Microwave Circuits Result of random motions of charges or charge carriers in devices and materials Thermal noise (most basic type) –thermal vibration of bound charges (also called Johnson or Nyquist noise) Shot noise –random fluctuations of charge carriers Flicker noise –occurs in solid-state components and varies inversely with frequency (1/f -noise)

Noise in Microwave Circuits Plasma noise –random motion of charges in ionized gas such as a plasma, the ionosphere, or sparking electrical contacts Quantum noise –results from the quantized nature of charge carriers and photons; often insignificant relative to other noise sources

Noise power and Equivalent Noise Temperature

Noise in Linear Systems

Gaussian white noise through an ideal low-pass filter

Gaussian white noise through an ideal integrator

Mixing of noise: frequency conversion

Basic Threshold Detection

Graphical Representation of Probability of Error for Basic Threshold Detection

Noise Temperature and Noise Figure

Noise Figure Noisy Rf and microwave components can be characterized by an equivalent noise temperature. An alternative is the noise figure which is the degradation of the signal to noise ratio between the input and the output of the component, or F = (S i /N i )/ (S 0 /N 0 )  1. The input noise power, N i = k T 0 B; P i = S i + N i ; P 0 = S 0 + N 0 ; S 0 = G S i ; N 0 = kGB(T 0 + T e ) ;

Noise Figure So F = [(S i / k T 0 B)]/ [(G S i / k G B (T 0 + T e )] =(T 0 + T e )/ T 0 = 1 + T e / T 0  1. Or the temperature of the noisy network T e = (F - 1) T 0. Let N added = noise power added by the network, the output noise power, N 0 = G (N i + N added ) So F = [(S i / N i )]/ [(G S i / G (N i + N added )] = 1 + N added / N i

Noise Figure of a Lossy Line Lossy transmission line (attenuator) held at a physical temperature, T. Power Gain, G 1 If the line input is terminated with a matched load at temperature T, then the output will appear as a resistor of value R and temperature T. Output Noise power is the sum of the input noise power attenuated through the lossy line plus the noise power added by the lossy line itself.

Noise Figure of a Lossy Line So the output Noise power, N o = kTB = G(kTB + N added ), where N added is the noise generated by the line. Therefore, N added = {(1/G) - 1 }kTB = (L-1) kTB The equivalent noise temperature T e of the lossy line becomes: T e = N added / KB = (L - 1) T; and the noise figure is F = 1 + T e / T 0 = 1 + (L - 1) T / T 0

Noise Figure of Cascaded Components Consider a cascade of two components having power gains G 1 and G 2, noise figures F 1 and F 2 and noise temperatures T 1 and T 2. Find overall noise figure, T and noise temperature T of the cascade as if it were the single component with N i = k T 0 B. Using noise temperatures, the noise power at the output of the first stage is N 1 = G 1 k B T 0 + G 1 k B T e1 ; and the output at the second is N 0 = G 2 N 1 + G 2 k B T e2 = G 1 G 2 k B (T 0 + T e1 + T e2 / G 1 )

Noise Figure of Cascaded Components For the equivalent single system: N 0 = G 1 G 2 k B (T 0 + T e ) So the noise of the cascade system is T e = T e1 + T e2 / G 1 Recall F = 1 + T e / T 0 so the cascade system F = 1+ T e1 / T 0 + T e2 / (G 1 T 0 ) = F 1 + ( F 2 - 1) / G 1 ; more generally T e = T e1 + T e2 / G 1 + T e3 / (G 1 G 1 ) F = F 1 + ( F 2 - 1) / G 1 + ( F 3 - 1) / G 1 G 2

Noise Figure of a Passive Two-Port Network Impedance mismatches may be defined at each port in terms of the reflection coefficients,  as shown in the diagram. Assume the network is at temperature, T and the input noise power is N 1 = k T B is applied to the input of the network. The available output noise at port 2 is N 2 = G 21 k T B + G 21 N added the noise generated internally by the network (referenced at port 1). G 21 is the available gain of the network from port 1 to port 2.

Noise Figure of a Passive Two-Port Network The available gain can be expressed in terms of the S-parameters of the network and the port mismatches as G 21 = power available from network divided by power available from source = { |S 21 | 2 (1- |  s | 2 )}/ | 1+S 11  s | 2 (1- |  out | 2 ) and the output mismatch is  out = S 22 + S 12 S 21  s /(1- S 11  s ) From N 2 =k T B, find N added = (1/G 21 -1)k T B, and the equivalent noise temperature is T e = N added /kB = T(1- G 21 )/ G 21, and F = (1/G 21 -1)T/T 0 Can apply to examples mismatched lossy line and Wilkinson power divider.

Gain Compression General non-linear network with an input voltage v i and and output voltage v 0 can be expressed in a Taylor series expansion: v 0 = a 0 + a 1 v i + a 2 v i 2 + a 3 v i 3 + … where the Taylor coefficients are given by: a 0 = v 0 (0) (DC output); {rectifier converting ac to dc} a 1 = dv 0 / dv i | v i =0 (linear output) ; {linear attenuator or amplifier} a 2 = d 2 v 0 / dv i 2 | v i =0 (squared output) ; {mixing and other frequency conversion functions}

Gain Compression Let v i = V 0 cos  0 t then evaluate v 0 = a 0 + a 1 v i + a 2 v i 2 + a 3 v i 3 + … v 0 = a 0 + a 1 V 0 cos  0 t + a 2 V 0 2 cos 2  0 t + a 3 V 0 3 cos 3  0 t + … =( a 0 + ½ a 2 V 0 2 ) + (a 1 V 0 + ¾ a 3 V 0 3 ) cos  0 t + ½ a 2 V 0 2 cos 2  0 t + ¼ a 3 V 0 3 cos 3  0 t + … This result leads to the voltage gain of the signal component at frequency  0 G v = v 0 (  0 ) / v i (  0 ) = (a 1 V 0 + ¾ a 3 V 0 3 ) / V 0 = a 1 + ¾ a 3 V 0 2 (retaining only terms through the third order)

Gain Compression G v = v 0 (  0 ) / v i (  0 ) = (a 1 V 0 + ¾ a 3 V 0 3 ) / V 0 = a 1 + ¾ a 3 V 0 2 here we see the a 1 term plus a term proportional to the square of the magnitude of the amplitude of the input voltage. The coefficient a 3 is typically negative; so the gain of the amplifier tens to decrease for large values of V 0. This is gain compression or saturation.

Intermodulation Distortion For a single input frequency, or tone,  0, the output will consist of harmonics of the input signal of the form, n  0, for n = 0, 1, 2, …. Usually these harmonics are out of the passband of the amplifier, but that is not true when the input consists of two closely spaced frequencies. Let v i = V 0 (cos  1 t + cos  2 t ); where  1 ~  2. Recall v 0 = a 0 + a 1 v i + a 2 v i 2 + a 3 v i 3 + … ; hence

Intermodulation Distortion The output spectrum consists of harmonics of the form, m  1 +n  2 with m, n = 0,  1,  2,  3, … These combinations of the two input frequencies are call intermodulation products, with order |m| + |n|. Generally, they are undesirable; however, in cases, for example a mixer, the the sum or difference frequencies form the desired outputs. Note that they are both far from  1 and  2. But the terms 2  1 -  2 and 2  2 -  1 are close to  1 and  2. Which causes third-order intermodulation distortion.

Third-Order Intercept Point Plot of first and third-order products of the output versus input power on a log-log plot hence the slopes represent the powers.

Dynamic Range