4. Waveforms, Frequencies & Bandwidth

 

4. Waveforms, Frequencies & Bandwidth



17.12.2018

Waveforms, Frequencies & Bandwidth – Video: Register for Course


Waveforms, Frequencies & Bandwidth – Transcript:

What will you learn

Sine Waves

  • The signals that are used in telecom are represented in two major domains – time and frequency – and are binded together via the well known fourier transform.
  • A single sine wave of a given frequency (no of cycles oscillations in 1 second) in the frequency domain is represented as a single „stripe” being a single frequency component at the frequency of oscillations
  • Increasing the frequency, moves the stripe to the right
  • When we add up those two sinewaves with the different frequencies – the resulting signal in the frequency domain has two stripes due to having two frequency components.

Sine Waves

When we add more and more frequency components (sine waves with different frequencies) and of different amplitudes, we can obtain different wave shapes – e.g. a rectangle wave.

Signal Bandwidth

  • So a single rectangular symbol (e.g. a transmitted bit 1) – in the frequency domain, needs an Infinite number of „stripes” and certain amplitudes – being a sin(f)/f function.
  • While in fact – the frequency response is symmetrical around „zero frequency”
  • The duration of the symbol in timedomain has a corresponding parameter in the frequency domain – i.e. bandwidth – which covers the frequency compoments covering most of the signal power.
  • Depending on the definition, the relations between BW and symbol time can be a bit different, but it’s allways inversely proportional to each other – for simplicity, we can say that the BW = 1/Tsym

symbol-length-bandwidth

  • So the long symbols, the narrow bandwidth
  • When we shorten the symbol duration – by half the length (from 0.5 to 0.25), we are widening the BW 2x.
  • The shorter the symbol – the wider the BW. The longer the symbol – the narrower the BW.
  • Now if we multiply the symbol with a sine wave of a certain frequency – this results in the shape of the original signal (symbol) sinc response – with the stripe of the „modulated frequency” – in this case 10Hz

Carrier frequency

  • So, lets imagine, we have a bitstream 1 0 0 0, that is represented in the time domain as an impulse of duration of 0.25 s, where zeros is a value of 0, and 1 is a value of 1 of the amplitudę
  • Now – we normally dont transmit pure bits, but they are moved to a given carier frequency (e.g. 2.4GHz in case of WiFi) by multiplying with a sine wave of that frequency – that is called modulation – and an example of this is is amplitude modulation – in the frequency domain – we can see the frequency response of the data (symbols) and a stripe of the carrier frequency component (in this case frequency of 10Hz) – this type of modulation was used in the good old AM audio broadcast systems. In this case the information is carried by the amplitudę levels of the sine wave that is transmitted over the air.
  • Another option is to use the same amplitudę value of the sine wave, but change the frequency of the wave depending on the transmitted data – in our example, we have a sine wave of higher frequency representing bit 1, and lower frequency representing bits 0, in the frequency domain, the frequency response is two copies of sinc wave placed on the two different frequencies (in this case 5Hz for 0 and 10Hz for 1). An example here is the current FM analogue audio broadcast.

Freequencies Bandwidths

  • Different systems use different carrier frequencies (e.g. 2.4GHz for 802.11n, or 5GHz for 802.11ac or 1.8GHz for LTE in europe, or 100MHz for FM radio)
  • Different systems can use different BW sizes that corresponds to the transmission speeds (wider BW – shorter symbols – higher throughputs – due to more symbols packed in a given time slots).

 

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