Husheng Li The University of Tennessee Superheterodyne Receiver Four tasks of the receiver Demodulation Carrier frequency tuning Filtering Amplification of signal In theory all of the foregoing requirements could be met with a highgain tunable ID: 534126
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Slide1
Chapter 7. Analog Communication System
Husheng Li
The University of TennesseeSlide2
Superheterodyne Receiver
Four tasks of the receiver:
Demodulation
Carrier frequency tuning
Filtering
Amplification of signal
In theory, all of the foregoing requirements could be met with a high-gain tunable
bandpass
amplifier. In practice, it is hard to achieve both selective and
tuneable
.Slide3
Superhet Principle
In the
superhet
principle, there are two distinct amplification and filtering sections prior to demodulation: RF section and IF section.Slide4
Parameters of AM and FMSlide5
Illustration of SpectrumSlide6
Direct Conversion Receivers
Direct conversion receivers (DC) are a class of tuned-RF (TRF) receivers that consist of an RF amplifier followed by a product detector and suitable message amplification.Slide7
Image Signal Rejection
The DC’s chief drawback is that it does not reject the image signal that is present in the opposite sideband and is thus more susceptible to noise and interference.Slide8
Homework
Deadline: Nov. 18
th
, 2013Slide9
Double Conversion Receiver
A double-conversion receiver takes the
superhet
principle one step further by including two frequency converters an two IF sections. The second IF is always fixed-tuned, while the first IF and second LO may be fixed or tunable.Slide10
Receiver Specification
Receiver sensitivity is the minimum input voltage necessary to produce a specified signal-to-noise radio (SNR) at the output of the IF section. A good-quality shortwave radio typically has sensitivity of 1
uV
for a 40dB SNR.
Dynamic range (DR) is
Selectivity specifies a receiver’s capability to discriminate against adjacent channel signals.
The noise figure indicates how much the receiver degrades the input signal’s S/N.
Image Rejection is Slide11
Scanning Spectrum Analyzers
If the LO in a
superhet
is replaced by a VCO, then the
predetection
portion acts like a
votlage
-tunable
bandpass
amplifier with center frequency f0=
f_LO
+/-
f_IFSlide12
Operation of Spectrum Analyzer
The number of resolvable spectral lines equals
The IF output produced by a single line takes the form of a
bandpass
pulse with time duration
A rapid sweep rate may exceed the IF pulse response. Hence, we have
Hence, the accurate resolution (small B) calls for a slow rate and long observation time.Slide13
Multiplexing
The basic multiplexing techniques include FDM, TDM and CDM. The multiple access techniques include FDMA, TDMA and CDMA, and OFDM.Slide14
FDMSlide15
Crosstalk in FDM
The major practical problem of FDM is crosstalk, the unwanted coupling of one message into another.
Intelligible crosstalk arises primarily because of nonlinearities in the system which cause one message signal to appear as modulation on another subcarrier.
The crosstalk may also come from imperfect spectral separation by the filter bank.Slide16
Example: FDMA Satellite SystemSlide17
Quadrature-Carrier Multiplexing
Quadrature-carrier multiplexing, also known as quadrature amplitude modulation (QAM), utilizes carrier phase shifting and synchronous detection to permit two DSB signals to occupy the same frequency band.Slide18
TDMSlide19
Synchronization Markers
Markers are needed for time synchronizationSlide20
Crosstalk and Guard Times
The filter design in TDM should be avoid inter-channel crosstalk.
A guard time is needed to avoid the crosstalk in TDM.
The crosstalk reduction factor is Slide21
Crosstalk in PPM
The avoidance of crosstalk in PPM requiresSlide22
Comparison of TDM and FDM
TDM is readily implemented with high-density VLSI circuitry where digital switches are extremely economical.
TDM is invulnerable to the usual causes of crosstalk in FDM.
TDM may or may not be advantageous when the transmission medium is subject to fading.
Most systems are hybrids of FDMA and TDMA.Slide23
GSM
GSM is a hybrid of TDMA and FDMASlide24
Homework
Deadline: Nov. 25
th
, 2013Slide25
Phase Locked Loops
A PLL uses phase comparatorSlide26
Phase Dynamics in PLL
The instantaneous angle in PLL is given bySlide27
Dynamics in PPL
The dynamics of the phase error are described in the nonlinear differential equation:
w
here the loop gain is defined as
The steady state is given bySlide28
Convergence
A necessary condition for the stead-state solution is given by
When the error is very close to zero, we have the following approximation:Slide29
PLL Pilot Filter
We can use the following circuit to generate a sinusoid synchronized with the pilot:Slide30
Synchronous Detection
When there is no pilot (e.g., in DSB), we can use the following Costas-PLL to lock the phase:Slide31
Frequency-offset Loop
We can use the following PLL to realize the synthesize the sum of two frequencies:Slide32
Frequency Multiplication
We can us the following PLL and frequency divider to realize the multiplication of a frequency with an integer:Slide33
Adjustable Local Oscillator
We can use the following circuits to obtain 100kHz and 1.6MHz and adjustable LO that covers 9.90—9.99
MHz.Slide34
Quiz
Use the following figure to explain the purpose of phase locked loop and its operation procedure:Slide35
Linearized PLL
The frequency domain model of PLL can be obtained by linearizing the PLL:Slide36
FM Detection
When the input is FM signal, the PLL can be approximated by a first-order
lowpass
filter:
The output is given bySlide37
Software Project
Topic: Analyze the spectrum of AM and FM signals.
Software:
Matlab
Tasks:
1. Consider triangle series shown in the right figure. Consider carrier frequency 200Hz. Choose the modulation indices by yourself.
2. Sample the modulated signal. Plot the time domain curves of the AM and FM modulated signals. Determine the sampling rate by yourself.
3. Read the introduction to discrete Fourier transform (DFT) in
Matlab
(
http://www.mathworks.com/help/matlab/math/discrete-fourier-transform-dft.html
) and the function
fft
(
http://www.mathworks.com/help/matlab/ref/fft.html
).
4. Use function
fft
in
Matlab
to obtain the spectrum of the modulated signal. Compare the spectrum of AM and FM.
5. Change the parameters such as modulation index and draw conclusions on the impact of
these parameters.
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Time
(seconds)
0
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