Repetition kapitel 5: Modem. Shannons regel.

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Presentation transcript:

Repetition kapitel 5: Modem. Shannons regel. Lektion 5 Repetition kapitel 5: Modem. Shannons regel.

Example 10 A constellation diagram consists of eight equally spaced points on a circle. If the bit rate is 4800 bps, what is the baud rate? Solution The constellation indicates 8-PSK with the points 45 degrees apart. Since 23 = 8, 3 bits are transmitted with each signal unit. Therefore, the baud rate is 4800 / 3 = 1600 baud

Example 11 Compute the bit rate for a 1000-baud 16-QAM signal. Solution A 16-QAM signal has 4 bits per signal unit since log216 = 4. Thus, 1000·4 = 4000 bps

Example 12 Compute the baud rate for a 72,000-bps 64-QAM signal. Solution A 64-QAM signal has 6 bits per signal unit since log2 64 = 6. Thus, 72000 / 6 = 12,000 baud

5.2 Telephone Modems Modem Standards

Note: A telephone line has a bandwidth of almost 2400 Hz for data transmission.

Figure 5.18 Telephone line bandwidth

Modem stands for modulator/demodulator. Note: Modem stands for modulator/demodulator.

Figure 5.19 Modulation/demodulation

Figure 5.20 The V.32 constellation and bandwidth

Figure 5.21 The V.32bis constellation and bandwidth

Figure 5.22 Traditional modems

Figure 5.23 56K modems

Note: The total bandwidth required for AM can be determined from the bandwidth of the audio signal: BWt = 2 x BWm.

Example 7 Consider a noiseless channel with a bandwidth of 3000 Hz transmitting a signal with two signal levels. The maximum bit rate can be calculated as Bit Rate = 2  3000  log2 2 = 6000 bps

Digital modulation För att överföra N bit/symbol krävs M=2N Vid M symboler överförs N=log2 M bit/symbol. Baudrate fs= antal symboler per sekund. Enhet: baud eller symboler/sekund. Symbollängd Ts= 1/fs. fs= 1/Ts Bitrate R = datahastighet. Enhet: bps eller bit/s. R= fslog2 M

Exempel: Nedan visas åtta symboler som används av ett s.k. 8QAM-modem (QAM=Quadrature Amplitude Modulation). Symbolerna i övre raden representerar bitföljderna 000, 001, 011 resp 010 (från vänster till höger). Undre raden representerar 100, 101, 111 resp 110.

Forts exempel:

Table 5.1 Bit and baud rate comparison Modulation Units Bits/Symbol Baud rate Bit Rate ASK, FSK, 2-PSK Bit 1 N 4-PSK, 4-QAM Dibit 2 2N 8-PSK, 8-QAM Tribit 3 3N 16-QAM Quadbit 4 4N 32-QAM Pentabit 5 5N 64-QAM Hexabit 6 6N 128-QAM Septabit 7 7N 256-QAM Octabit 8 8N

Vid FSK är bandbredden vanligen större. Figure 5.13 Relationship between baud rate and bandwidth in ASK, PSK, QAM (not FSK) without pulse shaping Vid många modulationsformer t.ex. s.k. ASK, PSK, och QAM är signalens bandbredd = symbolhastigheten. Vid FSK är bandbredden vanligen större. Bandbredden kan minskas genom s.k. pulsformning.

Maximal kanalkapacitet enligt Nyquist

Example 8 Consider the same noiseless channel, transmitting a signal with four signal levels (for each level, we send two bits). The maximum bit rate can be calculated as: Bit Rate = 2 x 3000 x log2 4 = 12,000 bps

Shannons regel C = B log2 (1+S/N), Kanalkapaciteten C är max antal bit per sekund vid bästa möjliga modulationsteknik och felrättande kodning: C = B log2 (1+S/N), där B är ledningens bandbredd i Hertz (oftast ungefär lika med övre gränsfrekvensen), S är nyttosignalens medeleffekt i Watt och N (noice) är bruseffekten i Watt.

C = B log2 (1 + SNR) = B log2 (1 + 0) = B log2 (1) = B  0 = 0 Example 9 Consider an extremely noisy channel in which the value of the signal-to-noise ratio is almost zero. In other words, the noise is so strong that the signal is faint. For this channel the capacity is calculated as C = B log2 (1 + SNR) = B log2 (1 + 0) = B log2 (1) = B  0 = 0

C = B log2 (1 + SNR) = 3000 log2 (1 + 3162) = 3000 log2 (3163) Example 10 We can calculate the theoretical highest bit rate of a regular telephone line. A telephone line normally has a bandwidth of 3000 Hz (300 Hz to 3300 Hz). The signal-to-noise ratio is usually 3162. For this channel the capacity is calculated as C = B log2 (1 + SNR) = 3000 log2 (1 + 3162) = 3000 log2 (3163) C = 3000  11.62 = 34,860 bps

Example 11 We have a channel with a 1 MHz bandwidth. The SNR for this channel is 63; what is the appropriate bit rate and signal level? Solution First, we use the Shannon formula to find our upper limit. C = B log2 (1 + SNR) = 106 log2 (1 + 63) = 106 log2 (64) = 6 Mbps Then we use the Nyquist formula to find the number of signal levels. 4 Mbps = 2  1 MHz  log2 L  L = 4

Capacity Limits Maximum bit rate (capacity) depends on: The analog bandwidth available (in Hz) The quality of the channel The level of the noise is one of the characteristics of the channel. The ratio of the voltage of the signal sent and the noise present in the channel is important for the maximum data rate achieved. Shannon’s theorem determines the theoretical highest data rate of a noisy channel C = B log2 (1 + S/N) S/N is the signal to noise ratio (often labeled as SNR)

Capacity Limits Maximum bit rate (capacity) depends on: The analog bandwidth available (in Hz) The quality of the channel The level of the noise is one of the characteristics of the channel. The ratio of the voltage of the signal sent and the noise present in the channel is important for the maximum data rate achieved. Shannon’s theorem determines the theoretical highest data rate of a noisy channel C = B log2 (1 + S/N) S/N is the signal to noise ratio (often labeled as SNR)

Example: Problem: Given S/N ratio of 30.098756dB, bandwidth of 8Khz, compute maximum data rate. Answer: S/N = 30.098756dB = 10 ^ 3.0098756 = 1022.9999205  1023 C = 8 Khz * log2 (1 + 1023 ) C = 8 Khz * log2 (1024 ) C = 8 * 1000 cycles/second * 10 bits/cycle C = 80 Kbps

How to calculate log2 x Calculators do not have a button for log2 x calculation To calculate log2 x use the following formula: log2 x = log10 x/log102  log10 (x)/0.3 Example: log230 = log 30/log 2 1.477/0.3 4.9