1. DIFFERENTIAL ENCODING
Chapter 3:
DIFFERENTIAL ENCODING
Differential Encoding
Eye Patterns
Regenerative Receiver
Bit Synchronizer
Binary to Mary Conversion
Huseyin Bilgekul
Eeng360 Communication Systems I
Department of Electrical and Electronic Engineering
Eastern Mediterranean University

2. Differential Coding System
Differential encoding removes the problem of Unintentional Signal Inversion.
Polarity of the differentially encoded signal may be inverted without affecting the decoded signal.
Modulo-2 addition
Exclusive OR I1 I2
Out 1

3. Example of Differential Coding
Encoding
Input sequence dn
Encoded sequence en
Reference digit
Decoding (with correct channel polarity)
Receiver sequence
(Correct polarity)
Decoded sequence
Decoding (with inverted channel polarity)
Received sequence
(Inverted polarity)
Decoded sequence
Decoded sequence is same whether there is inversion or not.

4. Eye patterns
The effects of channel filtering and channel noise can be seen by observing the received line code on an oscilloscope.
Received Line
Code
Information from Eye Pattern
Timing error  Eye opening
Sensitivity  Slope of the open eye
Noise Margin  height of the eye opening

5. Regenerative Repeater
Regenerate a noise-free digital signal. Amplify and clean-up the signal periodically
Produces a high level o/p
if sample value>VT
Increases the amplitude
Produces a sample value
Minimize the effect of
channel noise & ISI
Generates a clocking signal

6. Synchronization
Synchronization signals are clock-type signals necessary within a receiver for detection of data from the corrupted input signal.
Digital communications need at least 3 types of synchronization signals.
Bit Synchronization (Bit Synch.): To distinguish bit intervals.
Frame Synchronization (Frame Synch.): To distinguish groups of bits.
Carrier Synchronization: For bandpass signals with coherent detection.
Sync signals are derived from
Corrupted input signal.
From a separate channel that transmits sync signals.

7. Bit Synchronizer for NRZ Signals
Derive the synch signal from the corrupted received signal.
Used for unipolar NRZ signals.
Synchronizer complexity depends on the line code used.
Synchronizarion of RZ signals is easier since PSD has delta at f=R=1/Tb.
Bit synchronizer for NRZ signals is given below.

8. Square-law Bit Synchronizer for NRZ Signals
Square Law Device converts polar NRZ signal to unipolar RZ format.
Unipolar RZ signals have delta in the PSD at f=R=1/Tb.
This frequency component can be obtained by filtering.
Filtered sinusoidal is converted to clock pulses using a comparator.

9. Binary-to-multilevel polar NRZ Signal Conversion
Binary to multilevel conversion is used to reduce the bandwidth required by the binary signaling.
Multiple bits (l number of bits) are converted into words having SYMBOL durations Ts=lTb where the Symbol Rate or the BAUD Rate D=1/Ts=1/lTb.
The symbols are converted to a L level (L=2l ) multilevel signal using a l-bit DAC.
Note that now the Baud rate is reduced by l times the Bit rate R (D=R/l).
Thus the bandwidth required is reduced by l times.
Ts: Symbol Duration L: Number of M ary levels
Tb: Bit Duration l: Bits per Symbol
L=2l D=1/Ts=1/lTb=R/l Bnull=R/l

10. Power Spectra for Multilevel Polar NRZ Signals
(c) L = 8 = 23 Level Polar NRZ Waveform Out

11. Spectral Efficiency
The Spectral efficiency of a digital signal is given by, where R is the data rate and B is the bandwidth required.
If limited BW is desired, then use a signaling technique that has high spectral efficiency.
Maximum spectral efficiency (which is limited by channel noise) is given by the Shannon’s Channel Capacity formula:
Spectral efficiency for multilevel signaling is

12. PSD of a multilevel polar NRZ waveformå = + I i k n P a R 1 ) (
Ps(f)
PSD for a multilevel polar NRZ signal:
Multilevel signaling is used to reduce the BW of a digital signal