Matched filter vs. Incoherent detection

In summary, a matched filter is a signal processing technique that is used to detect a known signal in the presence of noise, while incoherent detection is a simpler method that involves comparing the absolute value of the received signal to a threshold value. Matched filters are typically better for detecting weak signals and have different applications, such as in radar and communication systems. While a matched filter can be used for incoherent detection, it is generally more computationally complex than incoherent detection.
  • #1
paul_harris77
52
0
I am having trouble seeing how a matched filter for FSK is any more "coherent" in its detection than an envelope detection incoherent FSK demodulator. The matched filter simply requires a precise sampling time at the output, however, surely so does the incoherent FSK demodulator?

Matched filters do not require a locally-generated coherent (in phase and hence frequency lock) version of the mark and space signals like a correlation detector does, so why are they classed as coherent detection?

Thanks!

Paul
 
Physics news on Phys.org
  • #2
Matched filters are considered to be a more coherent form of FSK detection because they are able to better differentiate between the two frequencies used for modulation. This is because the matched filter is designed to match the frequency response of the signal being detected, and so produces a better signal-to-noise ratio than an incoherent FSK demodulator. Additionally, a matched filter requires precise synchronization between the input and output signals, which ensures that the signal is accurately detected. In contrast, an incoherent FSK demodulator does not require synchronization, and thus may produce poorer results due to errors in the demodulation process.
 

Related to Matched filter vs. Incoherent detection

What is a matched filter and how does it differ from incoherent detection?

A matched filter is a signal processing technique that is used to detect a known signal in the presence of noise. It works by convolving the received signal with a filter that is designed to match the known signal. Incoherent detection, on the other hand, is a simpler method that involves taking the absolute value of the received signal and comparing it to a threshold value to determine the presence of a signal. The main difference between the two is that a matched filter takes into account the characteristics of the known signal, while incoherent detection does not.

Which method is better for detecting weak signals?

A matched filter is typically better for detecting weak signals because it takes into account the characteristics of the known signal, making it more sensitive to small variations in the received signal. Incoherent detection, on the other hand, is more susceptible to noise and may not be as effective in detecting weak signals.

Do matched filters and incoherent detection have different applications?

Yes, they do have different applications. Matched filters are commonly used in radar, sonar, and communication systems, where the received signal is known and needs to be detected in the presence of noise. Incoherent detection, on the other hand, is often used in simpler systems where the received signal is not known and a simple detection method is needed.

Can a matched filter be used for incoherent detection?

Yes, a matched filter can be used for incoherent detection by simply taking the absolute value of the output of the matched filter and comparing it to a threshold value. However, this method may not be as effective as using a dedicated incoherent detection technique.

Which method is more computationally complex?

Matched filtering is generally more computationally complex than incoherent detection because it involves convolving the received signal with the filter. Incoherent detection, on the other hand, only involves taking the absolute value of the received signal and comparing it to a threshold value, which is a simpler operation.

Back
Top