encoding process in pcm , Multiplexing in PCM Systems , Synchronization , PROBABILITY OF ERROR FOR PCM

Encoding in PCM
            We know that encoding is the process that follows the sampling and quantization. Encoding process converts the quantized samples into codewords. In a binary code, each symbol may have either a 0 value or a 1 value. There are various formats (i.e., waveforms) to represent the binary sequence. They are known as line codes. Figure 4.13 shows two of such formats called unipolar NRZ and polar NRZ, where the NRZ stands for non-return to zero.
DIAGRAM
FIGURE 4.13 Two binary formats.
4.15.5. Multiplexing in PCM Systems
            It is possible to multiplex the PCM signals using the time division multiplexing (TDM) principle. With increase in number of independent message sources, the time interval allotted to each source has to be reduced to accommodate all the sources. This reduces the duration of each binary hit in PCM codeword. This increases the bandwidth requirement of the system. If the pulses become, very short then the impairments in the transmission medium start to interfere with the proper operation of the system. Therefore, in practice, it is essential to restrict the number of message sources.
4.15.6. Synchronization in PCM
            For a PCM system with TDM, it is essential to synchronize the transmitter and receiver for proper operation of the system. For synchronization, it is essential to synchronize the clocks at the transmitter and receiver.
4.16 PERFORMANCE EVALUATION OF PCM : PROBABILITY OF ERROR FOR PCM
To evaluate the performance of the PCM system, we have to consider two major sources of noise as under:
(i) channel noise
(ii) quantization noise.
(i) Channel Noise gets introduced anywhere along the transmission path. It is also known as decoding noise.
(ii) Quantization Noise as discussed earlier is introduced at the transmitter and is carried along to the receiver output.
Both of them are present simultaneously but we shall consider them one by one to find their effect on the PCM system.

1. Channel Noise and its Effect

            The major effect of channel noise is introduction of transmission errors at the receiver when the PCM signal is being reconstructed. Due to such errors, the receiver will make mistake in making the decision about whether a 0 was received or a 1 was received. A 0 may be mistaken as 1 and al may be mistaken as 0. Such errors must be minimized so as to improve the fidelity of PCM system.

1. Probability of Error (Pe)

            The fidelity of a PCM system in presence of channel noise is measured in terms of error or probability of error. The probability of error or error rate is the probability that the symbol at the receiver output differs from that transmitted.
Expression for Probability for Error (Pe)
            To obtain the expression for probability for error (Pe), let us use the matched filter shown in figure 4.14 and assume that the type of noise is AWGN, i.e., additive while gaussian noise*.
DIAGRAM
FIGURE 4.14 Matched filter receiver for PCM
The deviation for the probability of error for a PCM system (P_e) has been given in chapter 5. Here, let us only state the expression for the error probability (P_e) of PCM system as under:
EQUATION
Where E_max = Peak signal energy
N₀ = Noise spectral density
We can substitue E_max = P_max Tb where Pmax is the maximum or peak signal power and T_b is the bit duration. Hence, the error probatility in terms of power is as under:
EQUATION                                      …(4.34)
The ratio N₀/T_b can be seen as the average noise power contained in a transmission bandwidth equal to the bit rate (1/T_b). Hence, E_max/N₀ may be viewed as the peak signal to noise power ration.

1. Observation

(i)         The everage probability of error in PCM receiver depends only on the ratio of peak signal energy E_max to the noise power spectral density N₀ measured at the receiver input.
(ii)        The complementary error function erfc is a monotonically decreasing function. Hence, erfc  decreases with increase in the ratio (E_max/N₀) as shown in figure 4.15
DIAGRAM
FIGURE 4.15 Probability of error in a PCM system.

1. Error Threshold

            From figure 4.15, it may be observed that the probability of error decreases very tepidly as the value of this ratio E_max/N₀ is increased. A very small increase in transmitted signal energy or power will make the reception of binary pulses almost error free. The effect of increase in the ratio E_max/N₀ has been illustrated in Table 4.1
Table 4.1 Effect of E_max/N₀ on probability of error

 
Table 4.1 shows that there is an error threshold at about 17 dB.
Above this value of E_max/N₀, the probability of error is very small. Whereas below this threshold, the probability of error is high and hence the effect of noise is quite significant. The effect of channel noise may be reduced by using the regenerative repeaters. Another important characteristics of PCM system is its raggedness to interference. As discussed earlier, for on off signaling, there is no effect of noise unless the peak amplitude is greater than half the pulse height.
Thus, if adequate margin over the error threshold is provided, then the system can successfully withstand large amount of noise and interference. Hence we can say that PCM is a noise resistant or rugged system.
4.17     COMPARISON OF PCM AND ANALOG MODULATION
            The threshold effect in PCM is similar to a property of analog modulation methods such as FM or PPM. The property is that, these systems tend to reduce the wideband noise above the threshold levels. The PCM also provides the wideband noise reduction if it is operated above its threshold which is given by,
where q = 2^v for binary PCM and q = M^v for M-ary PCM.
We assume that the sampling frequency is close to the Nyquist rate and BW = Nf_m Hz. Then, q = M^v = M^b where b = BW/f_m is known as the bandwidth ratio.
Therefore, we have
Here,               Signal to noise ratio at the destination
= Signal power at the destination
Here, it may be noted that the signal to noise ratio (S/N)_D, is proportional to M^2b which is much higher than the (S/N)_D of the wideband FM which is proportional to only b or b². Hence, PCM performs better than FM. Figure 4.16 shows the performance of various modulation types as a function of . All the curves in figure 4.16 have been plotted for S_x = 1/2. The dots indicate the threshold points. The PCM curves have been drawn for M = 2 and v = b.
DIAGRAM
FIGURE 4.16 Comparison of PCM and analog communication.
Conclusions
Some of the important observations from figure 4.16 may be listed as under :
(i)         For PCM if b is constant, then increase in  beyond the threshold value th (corresponding to the threshold point) does not increase (S/N)_D at all. Let us observe the flat PCM curves in figure 4.16. Hence, PCM must be operated just above the threshold.
(ii)        Near threshold, the PCM does offer some advantages over FM and PPM, with the same values of b and (S/N)_D.
(iii)       However, this advantage is gained at the expense of more complicated and expensive circuitry.
(iv)       The (S/N)_D for FM and PPM increases linearly with increase in the value of  and becomes better than that of PCM for the higher values of .
4.17.1. Benefits of PCM
            Figure 4.16 reveals the following benefits of using the PCM :
(i)         PCM allows the use of regenerative repeaters. This improves its noise performance.
(ii)        PCM allows the transmission of analog signals in the form of digital signals.
4.17.2. PCM is not used for Radio Broadcasting
            In ratio broadcasting, a relatively large signal to noise ratio (typically of the order of 60 dB) is required. To get this level of (S/N)_D, the PCM with b > 8 is needed. However, we can obtain the same performance with an FM system with b = 6 and with much simpler transmitter and receiver circuits. Therefore, higher bandwidth requirement and complicated circuitry are the drawbacks of PCM which does not allow its use for the radio, TV broadcasting applications.
EXAMPLE 4.1.         Derive an expressin for signal to quantization noise ratio for a PCM system which emplys linear (i.e., uniform) quantization technique. Given that input to the PCM system is a sinusoidal signal.
(U.P.S.C.I.E.S. Examination-1999)
or
A PCM system uses a uniform quantizer followed by a v bit encoder. Show that rms signal to quantization noise ratio is approximately given as (1.8 + 6v) dB.                                                 (U.P. Tech-Semester Exam. 2002-2003)
Solution: Let us assume that the modulating signal is a sinusoidal voltage, having a peak amplitude equal to A_m. Also, let this signal cover the complete excursion of representation levels.
Then, the power of this signal will be,
P =
Here, V = rms value i.e.,
Therefore, we have                                                                            …(i)
In case when R = 1, the power P is normalized, i.e.,
Normalized power with R = 1 in equation (i).
We know that, signal to quantization noise ratio is given as,
x
Here
and                                          x_max = A_m
Substituting, these values in the equation (ii), we get
EQUATION
Expressing signal to noise power ratio in dB, we get
x
or
or                                 x 10 x 0.3
Therefore, we have
(for sinusoidal signal) Ans.
EXAMPLE 4.2. A Television signal having a bandwidth of 4.2 MHz is transmitted using binary PCM system. Given that the number of quantization levels is 512. Determine:
(i)         Code word length
(ii)        Transmission bandwidth
(iii)       Final bit rate
(iv)       Output signal to quantization noise ratio.
Solution: Givn that the bandwidth is 4.2 MHz. This means that highest frequency component will have frequency of 4.2 MHz i.e.,
f_m = 4.2 MHz
Also, given that Quantization levels, q = 512
(i)         We know that the number of bits and quantization levels are related in binary PCM as under:
q = 2^v
i.e.,                                                                  512 = 2^v
or                                                         log₁₀ 512 = v log₁₀2
or
Simplifying, we get, v = 9 bits
Hence, the code word length is 9 bits. Ans.
(ii)        We know that the transmission channel bandwidth is given as,
BW vf_m  9 x 4.2 x 10⁶ Hz  37.8 MHz     Ans.
(iii)       The final bit rate is equal to signaling rate.
We know that the signaling rate is given as,
r = vf_s                                                                                   ….(i)
Here, sampling frequency is given as f_s ³ 2f_m
Thus,                                                   f_s ³ 2 x 4.2 MHz since f_m= 4.2 MHz
Or                                                        f_s ³ 8.4 MHz
Substituting this value of ‘f_s‘ in equation (1) for signaling rate, we get
Or                                r = 9 x 8.4 X 10⁶ bits/sec = 75.6 x 10⁶ bits/sec Ans.
The transmission bandwidth may also be obtained as,
x 75.6 x 10⁶ bits/sec
or BW ³ 37.8 MHz which is same as the value obtained earlier.
(iv)       The output signal to noise ratio is expressed as
But v = 9
Therefore,                                     x 9
or                                                                                      Ans.
EXAMPLE 4.3. The bandwidth of an input signal to the PCM is restricted to 4 kHz. The input signal varies in amplitude from – 3.8 V to + 3.8 V and has the average power of 30mW. The required signal to noise ratio is given as 20 dB. The PCM modulator produces binary output. Assuming uniform quantization,
            (i)         Find the number of bits required per sample.
            (ii)        Outputs of 30 such PCM coders are time multiplexed. What would be the minimum required transmission bandwidth for this multiplexed signal?
(Punjab Technical University-1999)
Solution: The given value of signal to noise ratio is 20 dB.
This means that.
Hence,
(i)        We know that the signal to quantization noise ratio is given as.
Here, we are given
x_max = 3.8V
P = 30 mW
and
Therefore,                                            EQUATION
 
Solving, we get                       v = 6.98 bits = 7 bits               Ans.
(ii)        The maximum frequency is given as
f_m = 4 kHz
We know that the transmission bandwidth is expressed as,
BW ³  vf_m
Since there are 30 PCM coders which are time multiplexed, the transmission bandwidth must be,
BW ³ 30 x v x f_m ³ 30 x 7 x 4 kHz ³ 840 kHz                      Ans.
We also know that the signaling rate is two times the transmission bandwidth, i.e.
Signaling rate,                         r = 840 x 2 bits/sec = 1680 bits/sec.                Ans.
EXAMPLE 4.4. The information in an analog signal voltage waveform is to be transmitted over a PCM system with an accuracy of ± 0.1% (full scale). The analog voltage waveform has a bandwidth of 100 Hz and an amplitude range of – 10 to + 10 volts.
(i)         Find the minimum sampling rate required.
(ii)        Find the number of bits in each PCM word.
(iii)       Find minimum bit rate required in the PCM signal.
(iv)       Find the minimum absolute channel bandwidth required for the transmission of the PCM signal.                                               (West Bengal-1999)
Solution: Here an accuracy is given as ± 0.1%. This means that the quantization error must be ± 0.1% or the maximum quantization error must be ± 0.1%.
Thus,                                       _max = ± 0.1% = ± 0.001
We know that the maximum quantization error for an uniform quantizer is expressed as,
_max =
or
Therefore,
Step size  = 2 x 0.001 = 0.002
We know that the step size, number of quantization levels and maximum value of the signal are related as
Here, given  10 volts
Substituting, values of D and x_max in equation (i), we get
or
Hence, the number of levels are 10,000.
(i)         The maximum frequency in the signal is given as 100 Hz, i.e.,
f_m = 100Hz
By sampling theorem minimum sampling frequency should be,
f_m ³ 2f_m ³ 2 x 100 ³ 200 Hz                                       Ans.
(ii)        We know that minimum 10,000 levels should be used to quantize the signal. If binary PCM is used, then number of bits for each samples may be calculated as under, i.e.
q = 2^v
Here,                                                               q = number of levels
v = bits in PCM.
Thus,                                                   10,000   =  2^v
log₁₀ 10,000 = v log₁₀ 2
or                                                         v =                 Ans.
(iii)       The bit rate or signaling rate is expressed as,
r ³ vf_s ³ 14 x 200 ³ 2800bits per second.                   Ans.
(iv)       The transmission bandwidth for PCM is expressed as,
x 2800 ³ 1400 Hz                            Ans.