Communication Engineering

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BBorhan
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Year 3 Term 1

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Communication System


Block Diagram

Classification of Electric Communication System

  1. Unidirectional system or simplex system
  1. Bidirectional system or duplex system
    • Half duplex system
    • Full duplex system
Basis for ComparisonSimplexHalf DuplexFull Duplex
Direction of CommunicationUnidirectionalTwo-directional, one at a timeTwo-directional, simultaneously
Send / ReceiveThe sender can only send dataThe sender can send and receive data, but one a timeThe sender can send and receive data simultaneously
PerformanceWorst performing mode of transmissionBetter than SimplexBest performing mode of transmission
ExampleKeyboard and monitorWalkie-talkieTelephone

Time Domain Signal


  • It is a plot of amplitude wrt time

  • multiple signals make complex

Frequency Domain Signal


  • wrt frequency

  • complexity is very less

Advantages

  • Filtering
  • Less complexity
  • Stability
  • Convolution of two signal = multiplication in frequency domain

Modulation


It is a process of modification of carrier signal wrt modulating (message) signal.

Carrier signal can be defined as a high frequency signal that is modulated by the modulating or the information signal. 

Need of Modulation

  1. Height of antenna : reduction of size in antenna

    fm,λ=cff_m , \lambda = \frac{c}{f},

    Length of antenna,

    dipole, L=λ2L = \frac{\lambda}{2}

    monopole, L=λ4L = \frac{\lambda}{4}

    small antenna, L=λ50orλ10L = \frac{\lambda}{50} or \frac{\lambda}{10}

    We can increase ff to decrease the LL.

  1. Radiated power by antenna: Pr1λ2P_r \propto \frac{1}{\lambda^2}, power increases when ff  increases
  1. Multiplexing: FDM, TDM, CDMA
  1. High Bandwidth
  1. Narrow Banding signal

Classification of Modulation

Ma’am Slide

Amplitude Modulation


It is the process in Amplitude of carrier signal changes wrt message/ modulating/ information signal.

s(t)=Ac(1+kam(t))cosωcts(t) = A_c(1+k_a m(t))\cos \omega_c t

For single tone,

s(t)=Accosωct+μAc2[cos(ωc+ωm)t+cos(ωcωm)t]s(t) = A_c\cos\omega_ct + \mu\frac{A_c}{2} [\cos(\omega_c+\omega _m)t + \cos(\omega_c-\omega _m)t]

where, modulation index μ=kaAm=AmAc\mu = k_a A_m = \frac{A_m}{A_c }

Modulating Index

AM Signal Transmitted power

From Ma’am slide. Pavg = Pt

Total Transmitted Power, Pt=Pc+PUSB+PLSB=Pc+PsP_t = P_c + P_{USB} + P_{LSB} = P_c + P_s

Powe of carrier, Pc=Ac22P_c = \frac{A_c^2}{2}, It is redundancy → it doesn’t have information

PsP_s has information, it is called power of sideband.

Power of Upper Sideband, PUSB=12(Acμ2)2=18Ac2μ2P_{USB} = \frac{1}{2} (\frac{A_c\mu}{2})^2 = \frac{1}{8} A_c^2 \mu^2

Power of Lower Sideband, PLSB=18Ac2μ2P_{LSB} = \frac{1}{8} A_c^2 \mu^2

Power of sideband, Ps=PUSB+PLSB=14Ac2μ2=12Pcμ2P_s = P_{USB} + P_{LSB} = \frac{1}{4} A_c^2 \mu^2 = \frac{1}{2} P_c\mu^2

Total Power, Pt=Ac22(1+μ22)P_t = \frac{A_c^2}{2} (1+ \frac{\mu^2}{2})

Efficiency of AM Signal

It is based on PsP_s. Because, it has information.

η=PsPt=μ22+μ2\eta = \frac{P_s}{P_t} = \frac{\mu^2}{2+\mu^2} 

Redundancy

D=1μ=22+μ2D = 1-\mu = \frac{2}{2+\mu^2}

DSB-SC : Double Side Band Suppressed Carrier

Transmission in which frequencies produced by amplitude modulation are symmetrically spaced above and below the carrier frequency and the carrier level is reduced to the lowest practical level, ideally completely suppressed.

  • We don’t send carrier signal
  • Only LSB and USB are there
  • It has 180 degree phase reversal at zero lossy of modulating signal

Advantages

  • Lower Power Consumption

Disadvantages

  • Complex detection

Applications

  • Analogue TV

AM signal,

s(t)=Ac[1+kam(t)]cosωct=Acm(t)cosωcts(t) = A_c[1+k_a m(t)] cos\omega_ct = A_c m(t) cos\omega_ct [ka=1k_a =1 , Accosωc=0 A_ccos\omega_c=0]

=AcAmcosωmtcosωct=AmAc2cos(ωc+ωm)tcos(ωcωm)t= A_c A_m cos \omega_m t cos\omega_ct = \frac{A_m A_c}{2} cos(\omega_c+\omega_m)t cos(\omega_c-\omega_m)t

Pavg=(AmAc22)2+(AmAc22)2=Am2Ac24P_{avg} = (\frac{\frac{A_m A_c}{2}}{\sqrt2})^2 + (\frac{\frac{A_m A_c}{2}}{\sqrt2})^2 = {\frac{A_m^2 A_c^2}{4}}

Balance Modulator DSB-SC

s1(t)=Ac[1+kam(t)]cosωcts_1(t) = A_c[1+ k_a m(t)] cos \omega_ct

s2(t)=Ac[1kam(t)]cosωcts_2(t) = A_c[1-k_a m(t)] cos \omega_ct

s(t)=s1(t)s2(t)=2kam(t)cosωcts(t) = s_1(t) - s_2(t) \\= 2k_a m (t) cos\omega_ct

By comparing with the standard form of DSB-SC, we will get the scaling factor as 2ka2k_a

Ring Modulator DSB SCs

For Positive half cycle

  • D1, D3 = on, D2, D4 = off
  • message signal multiplied by +1
  • D1,D2,D3,D4D_1, D_2, D_3, D_4 are connected in ring structure
  • Two center tapped transformers are used
  • Carrier signal is applied between two transformer
  • Carrier signal controls the diode

For Negative half cycle

  • D2, D4 = on, D1, D3=off
  • message signal multiplied by -1

We will get DSB SC wave s(t), which is just the product of the carrier signal c(t) and the message signal m(t), which represents DSB-SC wave and is obtained at the output transformer of the ring modulator.

SSB-SC : Single Sideband Suppressed Carrier

  • Removes any of sideband along with carrier
  • Bandwidth = ωm=fm\omega_m = f_m

s(t)=AmAc2cos(ωc+ωm)ts(t) = \frac{A_mA_c}{2} cos(\omega_c + \omega_m) t

or, s(t)=AmAc2cos(ωcωm)ts(t) = \frac{A_mA_c}{2} cos(\omega_c - \omega_m) t

We can use SSB-SC for Audio, Video signal but voice signal. Because of gap.

VSB : Vestigial Sideband Generator

  • Used to transmit video signal
  • Modify the BPF of SSB-SC
  • Voice : 300 - 3500 Hz (SSB-SC)
  • Audio Signal (20-2000 Hz)
  • Video Signal (0-4.5 MHz) (VSB)

Demodulation of AM


Envelope Detector

  • It is a simple and highly effective system. This method is used in most of the commercial AM radio receivers

Positive Half Cycle

  • Diode forward biased
  • Capacitor charges rapidly
  • Charge time constant (rf+Rs)C must be shorter than the carrier period

Negative/ Input signal falls

  • Reverse
  • Discharges through load resistor
  • it continues until the positive next positive half cycle
  • Discharging time constant RLCR_LC must be long enough to ensure that the capacitor discharges slowly through RlR_l between the positive peak of the carrier wave.

[W’ is bandwidth of the message signal]

Synchronous Detection

if μ>1\mu > 1, we should use this.

Local Oscillator

  • generates carrier wave
  • It is phase synchronous by Transmitter and Receiver

Advantages:

  • Better quality than modulation
  • less affected by noise

Draw Backs

  • Transmitter and receiver are required
  • More Complexity

Angle Modulation


Angle modulation is a modulation process in which the angle of the carrier wave or signal is changed with respect to the message signal or baseband signal.

Carrier Signal for Angle modulation,

s(t)=Accos(ωct+ϕ)s(t) = A_c cos(\omega_c t + \phi)

Angle, θ=ωct+ϕ\theta = \omega_c t + \phi

s(t)=Accosθs(t) = A_c cos\theta

Amplitude, AcA_c

Frequency, fcf_c (in ωc\omega_c)

Phase = ψ\psi

θ=ωct+ϕ\theta = \omega_c t + \phi

dθdt=ωc+dϕdt\frac{d\theta}{dt} = \omega_c + \frac{d\phi}{dt}

ωins=ωc+dϕdt\omega_{ins} = \omega_c + \frac{d\phi}{dt}

finsfc=12πdϕdtf_{ins} - f_c = \frac{1}{2\pi} \frac{d\phi}{dt}

Δf=finsfc=12πdϕdt\Delta f = f_{ins} - f_c = \frac{1}{2\pi} \frac{d\phi}{dt}

fins=fc+Δff_{ins} = f_c + \Delta f

(fins)max=fc+(Δf)max(f_{ins})_{max} = f_c + (\Delta f)_{max}…(i)

(fins)min=fc(Δf)max(f_{ins})_{min} = f_c - (\Delta f)_{max}..(ii)

fc=(fins)max+(fins)min2f_c = \frac{(f_{ins})_{max} + (f_{ins})_{min} }{2}

Carrier swing, (Δf)max=(fins)max(fins)min2(\Delta f)_{max} = \frac{(f_{ins})_{max} - (f_{ins})_{min}}{2}

ωins=instantaneous angular frequency\omega_{ins} = \text{instantaneous angular frequency}

fins=instantaneous frequencyf_{ins} = \text{instantaneous frequency}

Δf=Frequency derivation\Delta f = \text{Frequency derivation}

Frequency Modulation


Frequency Modulation (FM) is that form of angle modulation in which the instantaneous frequency finsf_{ins} is varied linearly with the baseband signal m(t)m(t).

Δfm(t)\Delta f \propto m(t) Δf=kfm(t)\Delta f = k_{f} m(t), Unit of kf=HzVoltk_f = \frac{Hz}{Volt}

where kf=frequency sensitivity of modulationk_f = \text{frequency sensitivity of modulation}

Expression

s(t)=Accos(ωct+ϕ)s(t) = A_c cos(\omega_ct + \phi), we have to convert ϕ\phi to frequency.

Δf=12πdϕdt\Delta f = \frac{1}{2\pi} \frac{d\phi}{dt}kfm(t)=12πϕ\int k_f m(t) = \frac{1}{2\pi} \phi

ϕ=2πkfm(t)dt\phi = 2\pi \int k_f m(t) dt

s(t)=Accos[ωct+2πkfm(t)dt]s(t) = A_c cos [\omega_ct + 2\pi k_f\int m(t)dt] [kf=Hz/Voltk_f = Hz/Volt]

s(t)=Accos[ωct+kfm(t)dt]s(t) = A_c cos [\omega_ct + k_f\int m(t)dt] [kf=rad/Voltk_f = rad/Volt]

For single tone

m(t)=Amcos(2πfmt)m(t) = A_m cos(2\pi f_m t)

s(t)=Accos[ωct+2πkfAmcos2πfmt]s(t) = A_c cos [\omega_ct + 2\pi k_f \int A_m cos 2\pi f_m t ]

=Accos[ωct+kfAmfmsin(ωmt)]=A_c cos[\omega_c t + \frac{k_f A_m}{f_m} sin (\omega_mt) ]

=Accos[ωct+βsin(ωmt)]=A_c cos[\omega_c t + \beta sin (\omega_mt) ]

Modulation index, β=kfAmfm=(Δf)maxfm\beta = \frac{k_f A_m}{f_m} = \frac{(\Delta_f)_{max}}{f_m}

Types of FM:

  1. Narrowband FM (β1)(\beta \le 1)

    This frequency modulation has a small bandwidth when compared to wideband FM. The modulation index β is small, i.e., less than 1. Its spectrum consists of the carrier, the upper sideband and the lower sideband. This is used in mobile communications such as police wireless, ambulances, taxicabs, etc.

    s(t)=Accos[ωct+βsin(ωmt)]s(t)=A_c cos[\omega_c t + \beta sin (\omega_mt) ]

    s(t)=Accos(ωct)cos[βsin(ωmt)]Acsin(ωct)sin[βsin(ωmt)]s(t) = A_c cos(\omega_ct) cos[\beta sin(\omega_m t)] - A_c sin(\omega_ct) sin[\beta sin(\omega_m t)]

    where, cos[βsin(ωmt)]1cos[\beta sin(\omega_m t)] \approx 1

    sin[βsin(ωmt)]βsin(ωmt)sin[\beta sin(\omega_m t)] \approx \beta sin(\omega_m t)

    Hence, s(t)=Accos(ωct)βAcsin(ωct)sin(ωmt)\text{Hence, } s(t) = A_ccos(\omega_ct) - \beta A_c sin(\omega_ct) sin(\omega_m t)

  1. Wideband FM (β>1)(\beta \gt 1)

Ideal Bandwidth = \infin

To get rid off this infinite bandwidth,

Carson’s Law :

B=2(Δfmax+fm)=2fm(β+1)B = 2 (\Delta f_{max} + f_m) = 2f_m(\beta + 1)

Phase Modulation


Phase modulation (PM) is a type of angle modulation where the phase of the carrier signal is varied in proportion to the the modulating signa m(t)m(t).

ϕm(t)\phi \propto m(t)ϕ=kpm(t)\phi = k_p m(t)

where, kpk_p = phase sensitivity of modulation = radvolt\frac{rad}{volt}

Expression

s(t)=Accos(ωct+ϕ)=Accos(ωct+kpm(t))s(t) = A_c cos(\omega_ct + \phi) = A_c cos(\omega_ct + k_p m(t))

For single tone,

s(t)=Accos[ωct+kpAmcos(ωmt)]=Accos[ωct+βcos(ωmt)]s(t) = A_c cos[\omega_ct + k_p A_m cos(\omega_mt)] = A_c cos[\omega_ct + \beta cos(\omega_mt)]

Modulation index, β=kpAm=Δfmaxδfmin\beta = k_p A_m = \frac{\Delta f_{max}}{\delta f_min}

Δf=kp2πddtm(t)\Delta f = \frac{k_p}{2\pi} \frac{d}{dt} m(t) 

Δfmax=kp2π[ddtm(t)]max=kp2πAmωm[(sinωmt)]max\Delta f_{max} = \frac{k_p}{2\pi} [\frac{d}{dt} m(t) ] _{max} = \frac{k_p}{2\pi} A_m \omega_m [ (-sin\omega_mt)] _{max}

Δfmax=kpAmfm\Delta f_{max} = k_p A_m f_m , [(sinωmt)max=1] [ (-sin\omega_mt) _{max} = 1]

Δfmin=kpAmfm \Delta f_{min} = -k_p A_m f_m  [(sinωmt)max=1] [ (-sin\omega_mt) _{max} = -1]

Phase derivation: Difference between phase of modulated carrier and phase of unmodulated carrier.

Unmodulated carrier = Accos(ωct+0°)A_c cos(\omega_ct + 0 \degree)

Modulated carrier = Accos(ωct+kpm(t))A_c cos(\omega_ct + k_p m(t))

Phase derivation,Δϕ=kpm(t)\text{Phase derivation}, \Delta \phi = k_p m(t)

Δϕmax=max(kpm(t))\Delta \phi_{max} = _{max}(k_p m(t))

Single tone,

Δϕmax=kpAm\Delta \phi_{max} = k_p A_m [coswmt=1cosw_mt = 1]

Δϕmin=kpAm\Delta \phi_{min} = -k_p A_m

Receivers


In radio communications, a radio receiver or receiver is an electronic device that receive radio waves and converts the information carried by them to a usable form.

  1. TRF : Tuned Radio Frequency
  1. SHR : Super Heterodyne Radio Receiver

Heterodyne Process


It is a process of mixing two signals having different frequencies in a non-linear manner to produce a signal with new frequency.

A special type of receiver that is used for this operation is caller Super heterodyne receiver (Superhet).

Superhet receiver sections

  • RF Section
  • Mixer Section/IF section
  • Detector/Demodulator Section

Preselector

  • used to select the desire carrier frequency of AM wave
  • It rejects unwanted RF signal or image frequency

RF Amplifiers

Envelope Detector

  • Detector recovers the original information of the baseband signal from the output of IF amplifier
  • The output of detector is low power audio signal

Audio Amplifier

  • It amplifies the audio frequency signal to the desired level and applies to the loud speaker

Frequency used in Superhet receiver

  1. Radio Frequency (fRF or fS)(f_{RF} \text{ or } f_S): Centre frequency of the signal transmitted/received.
  1. Intermediate Frequency (fIF)(f_{IF}): Fixed frequency lower than fcf_c
  1. Local Oscillator Frequency (fLO or fo)(f_{LO} \text{ or } f_o)

    fLOfcf_{LO} \ge f_c

    fLO=fRF+fIF=fs+fIFf_{LO} = f_{RF} + f_{IF} = f_{s} + f_{IF}

Image Frequency (fsi)(f_{si}):

Image signal is the unwanted signal present at fsif_{si}

fsi=fLO+fIF=fRF+2fIFf_{si} = f_{LO} + f_{IF} = f_{RF} + 2 f_{IF}

The image frequency must be rejected.

Image frequency rejection ration (IFRR)(IFRR):

IFRR, α=Gain at the signal frequencyGain ar the image frequency=1+Q2P2\text{IFRR, } \alpha = \frac{\text{Gain at the signal frequency}}{\text{Gain ar the image frequency}} = \sqrt{1+Q^2P^2}

P=fsifsfsfsiP = \frac{f_{si}}{f_s} - \frac{f_{s}}{f_{si}} 

Q=Quality factor of tuned circuitQ = \text{Quality factor of tuned circuit}

The value of IFRR should be high.

Advantages

  • High sensitivity and selectivity
  • High adjacent channel rejection
  • Stability is improved
  • High gain
  • Uniform BW is used due to fixed IF

Disadvantages

  • It requires additional LO and RF mixer. This increases cost of overall receiver.
  • Filters are also needed to remove any LO Leakage and undesired frequency. This also increases cost and complexity.

Applications

All radio and TV receivers operate on the principle of super heterodyne methos.

Sampling


  • Sampling is the reduction of a continuous-time signal to a discrete time signal.
  • Sampling is a process performed by a sampler
  • Analog signal is samples every TsT_s secs, called sampling interval.
  • Sampling rate/ frequency = fsf_s

When the continuous signal m(t)m(t) is sampled at regular intervals multiplied by a periodic pulse train s(t)s(t)/ impulse train δ(t)\delta(t) , the produced signal is the sampled signal.

Sampling Theorem: A continuous time signal can be represented in its samples and can be recovered back when sampling frequency fsf_s is greater than or equal to the twice highest frequency component of message signal.

[fm is the maximum frequency of the input or message signalf_m \text{ is the maximum frequency of the input or message signal}]

Condition: fs2fmf_s \ge 2f_m

Sampling rate is defined as the number of samples taken per second from a continuous signal for a finite set of values. fs=1Tsf_s = \frac{1}{T_s}

Nyquist rate: The theoretical minimum sampling rate /inline eq at which a signal can be sampled and still can be reconstruct samples without any distortion.

fs=2fmf_s = 2f_m

Nyquist Interval: Nyquist interval is the reciprocal of the Nyquist rate. Ts=12fmT_s = \frac{1}{2f_m}

Methods of Sampling

  1. Ideal Sampling
  • Known as instantaneous sampling/impulse sampling
  • multiplied by a impulse train signal
  • Sampling rate in infinite
  • Bandwidth is large
  1. Natural Sampling
  • considered as efficient multiplexing method in Pulse Amplitude Modulation
  • multiplied by the uniformly spaced rectangular pulses
  • pulses do not have flat tops, they are curved
  • their tops follow the waveform of input or message signal

  1. Flat-top Sampling
  • easier than natural sampling
  • amplitude of sampled pulses are constant
  • pulses have flat top
  • Aperture effect: The loss of high frequency content because of constant amplitude. Example:

Advantages/Why

The advantages of the sampling process are due to conversation of the transmission of digital form, which have various advantages.

Applications: PAM, PCM, TDM

  • Low cost
  • High Accuracy
  • Easy to implement
  • Less time consuming
  • Low signal loss
  • High Scope

Quantization


Quantization is the process in which continuous amplitude (analog) signals is converted into discrete amplitude (digital) signals.

Given a real number xxm we denote the quantized value of xx  as,

x^=Q(x)=x+ϵ\hat x = Q(x) = x + \epsilon, where ϵ\epsilon is the quantization error.

There are two main types of quantization

  1. Truncation

Just discard the least significant bits

  1. Rounding

just choose the closet value

Peak to peak value = 2mp2m_p

  • Dividing by decision boundaries (Here 5)
  • Quantization level (LL) : Decision Boundaries - 1
  • Step size, Δ=VHVLL=2mpL\Delta = \frac{V_H - V_L}{L} = \frac{2m_p}{L}
  • Number of bits to represent each sample (Level), n=log2Ln= log_2^L

Quantization Error: The difference between an input and output of a quantizer is known as a quantization error.

Quantization Error, q=x(t)y(t)q = x(t) - y(t)

Range of quantization error : Δ2qΔ2-\frac{\Delta}{2} \le q \le \frac{\Delta}{2}

Signal-to-noise Ration


P=V2R=A2RP = \frac{V^2}{R} = \frac{A^2}{R}

SNR=Wanted ComponentUnwanted Component=PsignalPnoise=(AsignalAnoise)2SNR = \frac{\text{Wanted Component}}{\text{Unwanted Component}} = \frac{P_{signal}}{P_{noise}} = (\frac{A_{signal}}{A_{noise}})^2,

Unit : Watt or dB\text{dB}, 1 dB=10log10P1 \ dB = 10 log_{10}^P

SNRdB=10log10SNR=10log10(PsignalPnoise)=20log10(Vsignalvnoise)SNR_{dB} = 10\log_{10}^{ SNR} = 10 \log_{10}( \frac{P_{signal}}{P_{noise}} )= 20 \log_{10} (\frac{V_{signal}}{v_{noise}})

Signal Power, Psignal=mp22P_{signal} = \frac{m_p^2}{2}

Quantization noise power/ Average Quantization power / Mean square value of quantization error ,

Nq=1ΔΔ2Δ2q2dq=Δ212Nq = \frac{1}{\Delta} \int_{-\frac{\Delta}{2}}^{\frac{\Delta}{2}} q^2 dq = \frac{\Delta^2}{12}

Noise power, Pnoise or Nq=Δ212=4mp212L2P_{noise} \text{ or } Nq = \frac{\Delta^2}{12} = \frac{4m_p^2}{12 L^2} [Derivation below]

SNR=32L2SNR = \frac{3}{2} L^2

SNRdB=10log1032L2=1.76+10log10L2=1.76+6nSNR_{dB} = 10\log_{10} \frac{3}{2} L^2 = 1.76 + 10\log_{10}L^2 = 1.76 + 6n

[n=Number of bits to represent each sample or leveln = \text{Number of bits to represent each sample or level} ]

Bit Rate: The total bits transmitted in one unit time. It means the total bits that travel per second.

Rb=bitssamples×samplessec=n×fsR_b = \frac{bits}{samples} \times \frac{samples}{sec} = n \times f_s, Unit : bits/sec1bits/sec^{-1}, bits per second

Shannon Capacity or Channel Capacity: Shannon’s Channel Capacity theorem states that the maximum rate at which information can be transmitted over a communication channel of a specified bandwidth in the presence of noise.

C=Blog2(1+SNR)C = B \log_2 (1+SNR)

C=Channel Capacity, Unit : bits/sec1C = \text{Channel Capacity, Unit : bits/sec}^{-1}

B=BandwidthB= \text{Bandwidth}

It tells us the theoretical highest limit in which any channel can transmit signals with the presence of noise. [Ref]

Baud Rate: The total number of signal units transmitted in one second.

Baud Rate =Rbn\text{Baud Rate } = \frac{R_b}{n}

ParametersBaud RateBit Rate
BasicsThe Baud rate refers to the total number of signal units transmitted in one second.The Bit rate refers to the total Bits transmitted in one unit time.
MeaningBaud rate indicates the total number of times the overall state of a given signal changes/ alters.Bit rate indicates the total bits that travel per second.
Determination of BandwidthThe Baud rate can easily determine the overall bandwidth that one might require to send a signal.The bit rate cannot determine the overall signal bandwidth.
Generally UsedIt mainly concerns the transmission of data over a given channel.It mainly focuses on the efficiency of a computer.
EquationBaud Rate = Rb/nBit Rate = fs * n

[Ref]

Pulse Code Modulation (PCM)


Information is transmitted in the form of “code words”. PCM output is in coded digital form.

  1. LPF
  • Bandlimits
  • Eliminates possibility of aliasing
  1. Encoder
  • Analog to digital converted
  • Each quantized level convert into N bit digital word
  1. Sample & Head Circuit
  • Convert to flat top PAM

  1. Parallel to Serial Converter

  1. Quantizer
  • Quantized PAM

Decoder

Advantages

  • Very high noise immunity
  • Due to digital nature of the signal, repeaters can be placed between transmitter and receiver. It reduce the effect of noise and regenerate the received PCM signal.
  • It is possible to store PCM.
  • It is possible to use various coding techniques so that the desired person can decode the received signal.
  • Integration with other form of digital data is possible

Disadvantages

  • The encoding, decoding and quantizing circuitry of PCM is complex.
  • Requires a large bandwidth

Applications:

  • Telephony
  • Space Communication (because of high noise immunity)

Pulse Amplitude Modulation


  • amplitude of the pulse carrier signal is changed according to the amplitude of the message signal.
  • Sampling Method: Flat Top PAM, Natural PAM

Applications: Ethernet, Photo biology, Driver for LED lighting, Micro controller

Demodulation

Reconstruction Filter:

  • Cut off frequency fc>fmf_c > f_m

Equalizer:

  • Reduce aperture effect and attenuation

Advantages

  • Simple modulation and demodulation
  • No complex circuitry for transmission and reception
  • PAM can generate other pulse modulation
  • Can carry message or information at the same time

Disadvantages

  • Bandwidth will be large. Due to Nyquist criteria also high bandwidth is required.
  • Amplitude varies according to modulating signal → interference → more noise
  • Pulse amplitude signal varies → more power required

Pulse Width Modulation (PWM)


  • Amplitude of x(t)x(t) \uparrow  → Width of PWM Signal \uparrow
  • Amplitude of x(t)x(t) \downarrow  → Width of PWM Signal \downarrow 
  • Leading edges of PWM waveform coincide with the falling edges of ramp signal

Comparator

  • Output High, x(t)>c(t)x(t) > c(t)
  • Output Low, x(t)<c(t)x(t) < c(t)

Generation of PWM

  • non-inverting x(t)x(t)
  • inverting c(t)c(t)

Demodulation

Advantages

  • Amplitude constant → Noise interference less
  • Signal and noise can be separated very easily at demodulation
  • Synchronization between transmitter and receiver is not requires

Disadvantages

  • Power will be variable → width of the pulse varies
  • Bandwidth is large compared to PAM

Applications: Telecommunication, robotics, audio effects and amplifications, control the amount of power, control the speed of the robot

Pulse Position Modulation (PPM)


Position of pulse varies according to modulating signal.

PPM can be derived from PWM.

Generation

Monostable:

  • One stable state (Low)
  • Give Trigger pulse → output = High (for some time)
  • “Some time” depends on Register and Capacitor (RC) component
  • Width and Amplitude Constant
  • Position varies

Demodulation

Advantages

  • Low noise interference compared to PAM
  • Noise removal and separation is very easy
  • Power usage is very low

Disadvantages

  • Synchronization between transmitter and receiver is required.
  • Large bandwidth

Applications: Non coherent detection, RF communication, contactless smart card, RFID