In this scenario, a pulse is sent and shall be detected at the receiver. It might represent a symbol for digital transmission or a radar pulse. The received pulse might be almost hidden in noise.
It is a matter of detecting the pulse in an optimal way. Which receive filter achieves the best signal-to-noise ratio? Compare different combinations of sender side pulse shapers and receiver side filters.
This simulation provides different filters for pulse shaping and receive filter. These are for instance:
To make results comparable, all filters are power-normalized. This means, the pulse energy is equal for all of them.
Determine the energy E of both pulses!
Now let's look at the noise. White Gaussian noise is added (AWGN channel). Determine the noise power of the detected signal!
- Switch off the digital signal source. Then the signal d(t) consists only of the noise part.
- Measure the signal power using the power meter - right click on d(t).
- Speed up the simulation by pressing F3 several times and see how the power converges to a value.
Does the noise power differ for the different filters?
Now let's look at the signal. The sent pulse passes the receive filter. Determine the maximum amplitude of the detected signal!
- Switch off the noise source. Then the signal d(t) consists only of the signal part.
- Regard the oscilloscope showing the detected signal.
- The best signal power is achieved when the signal d(t) is sampled at its maximum amplitude.
Which combinations of pulse shaper and receive filter show the maximum amplitude?
What is the corresponding signal power of the optimal sampled detected signal d'(t)?
The signal quality is measured as the ratio of signal power to noise power.
Determine the SNR for the best filter combinations - using the measured values!
The receive filter achieving the best SNR for a given sender side pulse shape is called 'Matched filter'. How can the SNR be calculated using the given energy of the sent pulse and the noise power-spectral-density N0? Find out the formula.