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I have a query on relationship between Baud Rate and Bandwidth for 8-PSK.

In 8-PSK as 3 bits together form a symbol, so Bandwidth = 2R/3 , R is Bit Rate

As bit rate is 3 times BAUD RATE for 8-PSK, hence Bandwidth has to be = 2* (BAUD RATE)

8-PSK

But in many places is see the below statement ::::

For PSK the baud rate is the same as the bandwidth I was going through this - This

How can this be possible.??

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The final statement is correct, for PSK with proper pulse shaping the baud rate and the bandwidth are the same (the bandwidth will typically be 20-30% higher than the symbol rate, but read on). The baud rate is the symbol rate or the rate of change from one symbol to the next in the modulated constellation.

Your earlier figures suggest unfiltered waveforms and "bandwidth" definition to be the first main lobe of the resulting Sinc function spectral shape. Specifically, with a random data pattern, the spectrum for an unfiltered PSK waveform will be a sinc function with a null to null bandwidth from the first null that is twice the baud rate. (and power spectral density will be sinc squared). Perhaps this is the source of your confusion.

Once filtered (typically with raised cosine or root-raised cosine filters or other similar Nyquist filters) the bandwidth can approach the symbol rate, but will be slightly wider given the parameters of the Nyquist filter. (For an infinitely long filter the bandwidth can be exactly the symbol rate but that is not practical).

This also applies for all the same reasons for QAM which is shown in the figure below (I happen to have figures for QAM that help demonstrate this), and when you see and understand the additional explanation below you will know how it can be applied to determine the bandwidth of other modulated waveform. The figure below shows a QAM waveform versus time (the real portion of the waveform) as an unfiltered waveform in blue versus what it would look like with raised cosine pulse shaping in red, and the resulting spectrum for each case is shown directly below that. This waveform was modulated with a baud rate of 1 MS/s.

Pulse Shaping

The unfiltered view is clear from observing the resultant modulated signal as a stream of impulses that are the convolved with a rectangular pulse that is the width of your symbol period. Again see the example related to QAM below, which equally applies to PSK. If the waveform was not pulse-shaped, the stream of impulses representing the modulation symbols would be convolved in time with a rectangular function of width $T$ (where $T$ is the symbol period) to result in the blue waveform above. Note for PSK this stream of impulses is complex values all with same magnitude by varying phase from symbol to symbol. The stream of impulses if indeed completely random and independent from symbol to symbol would have a white spectral density. Since the impulses are convolved with a rectangular function in time, its spectrum is multiplied by the Fourier transform in frequency, which for a rectangular function is a Sinc with a first null at $1/T$! Thus it should be very clear that the spectrum for a unfiltered PSK or QAM modulated waveform will be a Sinc function with a main lobe of twice the symbol rate. Pulse shaping reduces the bandwidth further.

QAM modulation

For an immediate insight into why the bandwidth can reduce to half the main lobe at most, consider a modulation case where the waveform alternates on every symbol between two symbols. The result would be a square wave at a rate of half the symbol rate. This would represent the highest frequency data pattern possible (such as for BPSK the data pattern of 101010 vs 11001100), and filtering down to half the main lobe would allow the fundamental of this square wave to still pass, as a sine wave yet still containing the information (101010) for subsequent demodulation. Filtering any lower than half the main lobe and this particular pattern (representing the highest frequency possible) would be completely removed.

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  • $\begingroup$ Thank you for your answer. Can you please check this. He gave BW for BPSK = 2* BIT RATE. But if BW = BAUDRATE, then BW for BPSK has to be = BITRATE. Can you please explain this. Which one I have to choose..?? $\endgroup$ – METALHEAD Jun 25 '17 at 11:29
  • $\begingroup$ In the link you gave in your comment, he does not show or mention any pulse shaping, so he could argue that he is talking about the main lobe null to null bandwidth. However most implementations would not be done without pulse shaping due to spectral efficiency requirements; but good to know what specific modulation you are referring to complete with what pulse shaping is used and then you can determined the bandwidth from that. Also occupied bandwidth requires a stricter definition such as % of total power etc. GPS is an example of BPSK that is not filtered. $\endgroup$ – Dan Boschen Jun 25 '17 at 11:53
  • $\begingroup$ $BW = BitRate/N$ and the modulation is M-PSK for $M=2^N$. So for BPSK which is 2-PSK, N=1, and the BW = SymbolRate = BitRate. Note that the bandwidth will actually be slightly more than the symbol rate (in practical implementations the bandwidth can be 20 - 30% more than the symbol rate). For unfiltered BPSK, the null to null bandwidth of the first main lobe is twice the bit rate (and twice the symbol rate). $\endgroup$ – Dan Boschen Jun 25 '17 at 11:57
  • $\begingroup$ It was a good question. $\endgroup$ – Dan Boschen Jun 25 '17 at 12:03
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According my knowledge, your problem is that you are mixing two different equations for two different scenarios.

when the signal is base-band it requires a Baud rate=Bit rate /3. To achieve this baud rate you need a minimum bandwidth of Baud rate/2 (As Nyquist) Lets call this minimum base-band bandwidth BWo.

When you try to modulate this signal, you will move its frecuency components to F-carrier and in this process you will need to double its original base-band BWo

Conclusion after modulation using PSK you will need: 2*BWo

for the base-band signal you only need ( as Nyquist) : BWo=Baud rate/2 Baud rate=Bit rate/n

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