Title Details: | |
Optimal Digital Detection – Matched Filters |
|
Authors: |
Mitrou, Nikolaos |
Reviewer: |
Karampogias, Serafeim |
Subject: | ENGINEERING AND TECHNOLOGY > > > |
Description: | |
Abstract: |
This chapter presents the method of optimal identification of pulses, which carry digital data and have been corrupted during transmission with additive, white noise. The method is implemented with the so-called matched filter, which is basically a signal correlator. At the receiver, a bank of matched filters (corresponding to the different, linearly independent pulses of the agreed transmission repertoire – referred to as signal constellation) calculate the correlation of their pulse with each incoming pulse (multiplication and integration over the fundamental period, T). The filter with the largest output value indicates the pulse with the highest likelihood (ie, the highest probability of having been emitted, under the condition of the signal received).
After presenting the basic features of matched filters, a generalization to N-dimensional linear signal spaces is made. Error analysis is briefly discussed and worked examples of sinusoidal pulse (FSK) and pulse amplitude modulated (PAM or ASK) recognition are given.
|
Linguistic Editors: |
Konachos, Dimitrios |
Technical Editors: |
Stavrou, Periklis Tsionis, Elias |
Type: |
Chapter |
Creation Date: | 2015 |
Item Details: | |
License: |
Attribution - NonCommercial - ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
Handle | http://hdl.handle.net/11419/6047 |
Bibliographic Reference: | Mitrou, N. (2015). Optimal Digital Detection – Matched Filters [Chapter]. In Mitrou, N. 2015. Digital Communications [Undergraduate textbook]. Kallipos, Open Academic Editions. https://hdl.handle.net/11419/6047 |
Language: |
Greek English |
Is Part of: |
Digital Communications |
Publication Origin: |
Kallipos, Open Academic Editions |