Timeline for Design of equalizer for wireless communication
Current License: CC BY-SA 3.0
10 events
| when toggle format | what | by | license | comment | |
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| Oct 22, 2015 at 1:59 | vote | accept | Srishti M | ||
| Oct 20, 2015 at 7:56 | history | edited | Srishti M | CC BY-SA 3.0 |
updated question with specific queries; deleted unecessary stuff; added link to relevant resources
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| Oct 20, 2015 at 0:34 | comment | added | MBaz | An equalizer does not remove noise. If the equalizer is perfect, its output is the transmitted signal plus noise. After equalization, you still need to recover the symbols present in the signal. | |
| Oct 19, 2015 at 21:53 | answer | added | JohnMarvin | timeline score: 4 | |
| Oct 19, 2015 at 20:09 | comment | added | Srishti M | An equalizer would be needed for removing noise in a channel say channel modeled as AWGN or in another case where we are doing estimation of linear/nonlinear regression models. So, I am not sure what you mean by saying the channel having a flat frequency response will not need an equalizer. If we want to get the input at the receiver, then we need an equalizer. If the channel coefficients or the coefficients of the regression model are unknown we go for blind equalization. | |
| Oct 19, 2015 at 19:57 | comment | added | Jason R | Because equalizers are designed to solve the problems imposed by a frequency-selective channel. If your channel has a flat frequency response, what would you want the equalizer to do for you? | |
| Oct 19, 2015 at 19:39 | history | edited | Srishti M | CC BY-SA 3.0 |
elaborated the question;
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| Oct 19, 2015 at 19:38 | comment | added | Srishti M | Thank you for your comment in detail. Can you please provide a link or elaborate more on why if the channel is not frequency-slective, then an equalizer is not needed. | |
| Oct 19, 2015 at 19:09 | comment | added | Jason R | At a high level, a linear equalizer is meant to undo the effects of a linear channel response. In wireless communication, multipath propagation is the best example of this. At the receiver, the multiple paths each have different delays and amplitude/phase responses; these sum up to yield a "filtered" version of the originally transmitted signal. A linear equalizer aims to provide a filter that "inverts" this filter to some extent, giving you an output that looks more like what was transmitted. If you don't have a frequency-selective channel, an equalizer isn't usually needed. | |
| Oct 19, 2015 at 19:00 | history | asked | Srishti M | CC BY-SA 3.0 |