APPLICATION OF RECURSIVE LEAST SQUARE ALGORITHM TO ADAPTIVE CHANNEL EQUALIZATION |
|---|
| Radek Martinek, Jan Vanus, Michal Kelnar, Petr Bilik, Jan Zidek |
- Abstract:
- This paper deals with modern wireless transmission systems. It focusses on real implementation of recursive least squares (RLS) channel equalizer into the system of software defined radio (SDR), in order to minimize the distance between the signal and SNR transmitting channel noise and then reduce the error rate of bit error rate (BER) transmission. The authors aimed to conduct a real measurement using universal software radio peripheral (USRP). Experimental results suggest that researched RLS equalizer embodies better BER values in comparison to commercially most common equalizers of the least mean square (LMS) algorithm group. Moreover, the conducted experiments show that the usage of the SDR conception is very suitable for testing new principles in channel equalization field.
- Keywords:
- bit error rate, signal to noise ratio, recursive least squares algorithm, software defined radio, universal software radio peripheral
- Download:
- IMEKO-WC-2015-TC4-124.pdf
- DOI:
- -
- Event details
- Event name:
- XXI IMEKO World Congress
- Title:
Measurement in Research and Industry
- Place:
- Prague, CZECH REPUBLIC
- Time:
- 30 August 2015 - 04 September 2015