Blind I/Q Signal Separation-Based Solutions for Receiver Signal Processing
| Autor: | Mikko Valkama, Visa Koivunen, Markku Renfors |
|---|---|
| Rok vydání: | 2005 |
| Předmět: |
Digital signal processor
Computer science Speech recognition Noise reduction complex-valued (I/Q) signals and systems Equalization (audio) lcsh:TK7800-8360 Radio receiver radio communications Signal Blind signal separation blind signal separation Synchronization lcsh:Telecommunication law.invention law lcsh:TK5101-6720 Electronic engineering Source separation Electrical and Electronic Engineering carrier synchronization and tracking Digital signal processing Blind equalization Signal processing Equalization business.industry lcsh:Electronics Hardware and Architecture Signal Processing I/Q mismatch channel equalization business |
| Zdroj: | EURASIP Journal on Advances in Signal Processing, Vol 2005, Iss 16, p 525164 (2005) Tampere University EURASIP Journal on Advances in Signal Processing, Vol 2005, Iss 16, Pp 2708-2718 (2005) |
| ISSN: | 1687-6180 |
| DOI: | 10.1155/asp.2005.2708 |
| Popis: | This paper introduces some novel digital signal processing (DSP)-based approaches to some of the most fundamental tasks of radio receivers, namely, channel equalization, carrier synchronization, and I/Q mismatch compensation. The leading principle is to show that all these problems can be solved blindly (i.e., without training signals) by forcing the I and Q components of the observed data as independent as possible. Blind signal separation (BSS) is then introduced as an efficient tool to carry out these tasks, and simulation examples are used to illustrate the performance of the proposed approaches. The main application area of the presented carrier synchronization and I/Q mismatch compensation techniques is in direct-conversion type receivers, while the proposed channel equalization principles basically apply to any radio architecture. |
| Databáze: | OpenAIRE |
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