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S IGNAL E NCODING T ECHNIQUES Engr. Mehran Mamonai Department of Telecommunication
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Encoding Techniques Digital data, digital signal – Equipment less complex and expensive than digital-to-analog modulation equipment Analog data, digital signal – Permits use of modern digital transmission and switching equipment Digital data, analog signal – Some transmission media will only propagate analog signals E.g., unguided media Analog data, analog signal – Analog data in electrical form can be transmitted easily and cheaply i.e. Done with voice transmission over voice-grade lines
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Digital Data, Digital Signal Digital signal – Discrete, discontinuous voltage pulses – Each pulse is a signal element – Binary data encoded into signal elements
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Terms (1) Unipolar – All signal elements have same sign Polar – One logic state represented by positive voltage the other by negative voltage Data rate – Rate of data transmission in bits per second Duration or length of a bit – Time taken for transmitter to emit the bit
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Terms (2) Modulation rate – Rate at which the signal level changes – Measured in baud = signal elements per second Mark and Space – Binary 1 and Binary 0 respectively
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Interpreting Signals Need to know – Timing of bits - when they start and end – Signal levels What determines how successful a receiver will be in interpreting an incoming signal? – Data rate An increase in data rate increases bit error rate – Signal to noise ratio An increase in SNR decreases bit error rate – Bandwidth An increase in bandwidth allows an increase in data rate
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Comparison of Encoding Schemes (1) Signal Spectrum – Lack of high frequencies reduces required bandwidth – Spectral efficiency (also called bandwidth efficiency) – With no dc component, ac coupling via transformer Possible – Concentrate power in the middle of the bandwidth, Transfer function of a channel is worse near band edges. Clocking – Synchronizing transmitter and receiver – Ease of determining beginning and end of each bit position – External clock – Sync mechanism based on signal
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Comparison of Encoding Schemes (2) Error detection – Can be built in to signal encoding Signal interference and noise immunity – Some codes are better than others Cost and complexity – The higher the signal rate to achieve a given data rate, the greater the cost
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Encoding Schemes Nonreturn to Zero-Level (NRZ-L) Nonreturn to Zero Inverted (NRZI) Bipolar -AMI Pseudoternary Manchester Differential Manchester B8ZS HDB3
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NonReturn to Zero-Level (NRZ-L) Two different voltages for 0 and 1 bits Voltage constant during bit interval – no transition I.e. no return to zero voltage e.g. Absence of voltage for zero, constant positive voltage for one More often, negative voltage for one value and positive for the other This is NRZ-L
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NonReturn to Zero Inverted (NRZ-I) Nonreturn to zero inverted on ones Constant voltage pulse for duration of bit Data encoded as presence or absence of signal transition at beginning of bit time Transition (low to high or high to low) denotes a binary 1 No transition denotes binary 0 An example of differential encoding
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NRZ (L & I)
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Differential Encoding Data represented by changes rather than levels More reliable detection of transition rather than level In complex transmission layouts it is easy to lose sense of polarity
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NRZ pros and cons Pros – Easy to engineer – Make good use of bandwidth Cons – dc component – Lack of synchronization capability Used for magnetic recording Not often used for signal transmission
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Multilevel Binary Use more than two levels Bipolar-AMI – zero represented by no line signal – one represented by positive or negative pulse – one pulses alternate in polarity – No loss of sync if a long string of ones (zeros still a problem) – No net dc component – Lower bandwidth – Easy error detection
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Pseudoternary One represented by absence of line signal Zero represented by alternating positive and negative No advantage or disadvantage over bipolar- AMI
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Bipolar-AMI and Pseudoternary
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Trade Off for Multilevel Binary Not as efficient as NRZ – Each signal element only represents one bit – In a 3 level system could represent log 2 3 = 1.58 bits – Receiver must distinguish between three levels (+A, -A, 0) – Requires approx. 3dB more signal power for same probability of bit error
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Biphase Manchester – Transition in middle of each bit period – Transition serves as clock and data – Low to high represents one – High to low represents zero – Used by IEEE 802.3 Differential Manchester – Midbit transition is clocking only – Transition at start of a bit period represents zero – No transition at start of a bit period represents one – Note: this is a differential encoding scheme – Used by IEEE 802.5
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Manchester Encoding
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Differential Manchester Encoding
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Biphase Pros and Cons Con – At least one transition per bit time and possibly two – Maximum modulation rate is twice NRZ – Requires more bandwidth Pros – Synchronization on mid bit transition (self clocking) – No dc component – Error detection Absence of expected transition
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Modulation Rate
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Scrambling Use scrambling to replace sequences that would produce constant voltage Filling sequence – Must produce enough transitions to sync – Must be recognized by receiver and replace with original – Same length as original No dc component No long sequences of zero level line signal No reduction in data rate Error detection capability
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B8ZS Bipolar With 8 Zeros Substitution Based on bipolar-AMI If octet of all zeros and last voltage pulse preceding was positive encode as 000+-0-+ If octet of all zeros and last voltage pulse preceding was negative encode as 000-+0+- Causes two violations of AMI code Unlikely to occur as a result of noise Receiver detects and interprets as octet of all zeros
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HDB3 High Density Bipolar 3 Zeros Based on bipolar-AMI String of four zeros replaced with one or two pulses
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B8ZS and HDB3
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Digital Data, Analog Signal Public telephone system – 300Hz to 3400Hz – Use modem (modulator-demodulator) Amplitude shift keying (ASK) – Amplitude difference of carrier frequency Frequency shift keying (FSK) – Frequency difference near carrier frequency Phase shift keying (PK) – Phase of carrier signal shifted
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Modulation Techniques
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One binary digit represented by presence of carrier, at constant amplitude Other binary digit represented by absence of carrier where the carrier signal is Acos(2πf c t) Amplitude Shift Keying
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Values represented by different amplitudes of carrier Usually, Amplitude is one – i.e. presence and absence of carrier is used Inefficient modulation technique since it is much more susceptible to noise – Atmospheric and impulse noises tend to cause rapid fluctuations in amplitude Linear modulation technique – Good spectral efficiency – Low power efficiency Up to 1200bps on voice grade lines Used for carrying digital data over optical fiber
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Amplitude Shift Keying
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Two binary digits represented by two different frequencies near the carrier frequency where f 1 and f 2 are offset from carrier frequency f c by equal but opposite amounts Frequency Shift Keying
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Most common form is binary FSK (BFSK) Less susceptible to error than ASK Up to 1200bps on voice grade lines Used for high-frequency (3 to 30 MHz) radio transmission Can be used at higher frequency on LANs using co-axial Amplitude of the carrier wave is constant – Power-efficient
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Binary Frequency Shift Keying
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FSK on Voice Grade Line
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Multiple FSK More than two frequencies used More bandwidth efficient More prone to error Each signalling element represents more than one bit
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Multiple Frequency-Shift Keying (MFSK)
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Binary Phase-Shift Keying (BPSK) Linear modulation technique
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Phase Shift Keying (PSK) Phase of carrier signal is shifted to represent data Binary PSK – Two phases represent two binary digits Differential PSK – Phase shifted relative to previous transmission rather than some reference signal Binary 0 – signal burst of same phase as previous signal burst Binary 1 – signal burst of opposite phase to previous signal burst
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Binary Phase-Shift Keying (BPSK)
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Differential PSK
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Four-level PSK (QPSK)
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Quadrature PSK More efficient use by each signal element representing more than one bit – e.g. shifts of /2 (90 o ) – Each element represents two bits – Can use 8 phase angles and have more than one amplitude – 9600bps modem use 12 angles, four of which have two amplitudes Offset QPSK (orthogonal QPSK) – Delay in Q stream
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QPSK and OQPSK Modulators
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Examples of QPSF and OQPSK Waveforms
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Performance of Digital to Analog Modulation Schemes Bandwidth – ASK and PSK bandwidth directly related to bit rate – FSK bandwidth related to data rate for lower frequencies, but to offset of modulated frequency from carrier at high frequencies – Bandwidth of modulated signal (B T ) – ASK, PSK B T =(1+r)R – FSK B T = 2D F +(1+r)R – R = bit rate – 0 < r < 1; related to how signal is filtered – D F = f 2 -f c =f c -f 1 – In the presence of noise, bit error rate of PSK and QPSK are about 3dB superior to ASK and FSK
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Performance of Digital to Analog Modulation Schemes Bandwidth of modulated signal (BT) MPSK MFSK – L = number of bits encoded per signal element – M = number of different signal elements
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Multilevel PSK Using multiple phase angles with each angle having more than one amplitude, multiple signals elements can be achieved D = modulation rate, baud R = data rate, bps M = number of different signal elements = 2L L = number of bits per signal element
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Quadrature Amplitude Modulation (QAM) QAM is a combination of ASK and PSK Two different signals sent simultaneously on the same carrier frequency
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Quadrature Amplitude Modulation (QAM) QAM used on asymmetric digital subscriber line (ADSL) and some wireless Logical extension of QPSK Send two different signals simultaneously on same carrier frequency – Use two copies of carrier, one shifted 90 ° – Each carrier is ASK modulated – Two independent signals over same medium – Demodulate and combine for original binary output
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QAM Modulator
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QAM Levels Two level ASK – Each of two streams in one of two states – Four state system – Essentially QPSK Four level ASK – Combined stream in one of 16 states 64 and 256 state systems have been implemented Improved data rate for given bandwidth – Increased potential error rate
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Analog Data, Digital Signal Digitization – Conversion of analog data into digital signal Once analog data have been converted to digital signals, the digital data: – Digital data can then be transmitted using NRZ-L – Digital data can then be transmitted using code other than NRZ-L – Analog to digital conversion done using a codec
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Digitizing Analog Data
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Digital Coding Schemes Pulse code modulation (PCM) Delta modulation (DM)
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Pulse Code Modulation(PCM) (1) Based on the sampling theorem Each analog sample is assigned a binary code – Analog samples are referred to as pulse amplitude modulation (PAM) samples The digital signal consists of block of n bits, where each n- bit number is the amplitude of a PCM pulse E.g.: 4 bit system gives 16 levels Quantized – Quantizing error or noise – Approximations mean it is impossible to recover original exactly – Leads to quantizing noise
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Pulse Code Modulation(PCM) (2) 8 bit sample gives 256 levels If a signal is sampled at regular intervals at a rate higher than twice the highest signal frequency, the samples contain all the information of the original signal – (Proof - Stallings appendix 4A) Voice data limited to below 4000Hz Require 8000 sample per second 8000 samples per second of 8 bits each gives 64kbps Quality comparable with analog transmission
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PCM Example
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PCM Block Diagram
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Delta Modulation Analog input is approximated by a staircase function – Move up or down one level ( ) at each sample interval The bit stream approximates derivative of analog signal (rather than amplitude) – 1 is generated if function goes up – 0 otherwise
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Delta Modulation - example
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Delta Modulation Two important parameters – Size of step assigned to each binary digit (δ) – Sampling rate Accuracy improved by increasing sampling rate – However, this increases the data rate Advantage of DM over PCM is the simplicity of its implementation
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Delta Modulation - Operation
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Delta Modulation - Performance Good voice reproduction – PCM - 128 levels (7 bit) – Voice bandwidth 4khz – Should be 8000 x 7 = 56kbps for PCM Data compression can improve on this – e.g. Interframe coding techniques for video
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Analog Data, Analog Signals Why modulate analog signals? – Higher frequency can give more efficient transmission – Permits frequency division multiplexing ( will be discussed in chapter 8) Types of modulation – Amplitude Modulation – Angel Modulation – Frequency Modulation – Phase Modulation
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Amplitude Modulation cos2πf c t = carrier x(t) = input signal na = modulation index (< 1) – Ratio of amplitude of input signal to carrier Double sideband transmitted carrier (DSBTC)
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Amplitude Modulation
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Spectrum of AM
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AM Power Transmitted power P t = total transmitted power in s(t) P c = transmitted power in carrier
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Single Sideband (SSB) Variant of AM is single sideband (SSB) – Sends only one sideband – Eliminates other sideband and carrier Advantages – Only half the bandwidth is required – Less power is required Disadvantages – Poor performance in fading channels
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Angle Modulation Frequency modulation – Derivative of the phase is proportional to modulating signal Phase modulation – Phase is proportional to modulating signal
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Analog Modulation
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Required Reading Stallings chapter 5
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