Energy efficient equalizer design for MIMO OFDM communication systems using improved split complex extreme learning machine

Autor: Harish Kumar Sahoo, Swetaleena Sahoo, Sarita Nanda
Rok vydání: 2021
Předmět:
Zdroj: Signal, Image and Video Processing. 16:349-357
ISSN: 1863-1711
1863-1703
Popis: Design of effective equalizer for modern multiple-input multiple-output orthogonal frequency division multiplexing (MIMO OFDM) wireless system is an important research problem as reconstruction of original information is quite challenging in the presence of different channel impairments. The equalizer design addressed in this paper uses IEEE 802.11 g indoor channel model and quadrature amplitude modulation (QAM) constellation to describe the fading statistics with a limited user mobility. The important research contributions can be visualized looking into two important aspects which includes a split complex extreme learning machine model trained using adaptive Levenberg–Marquardt algorithm and ON/OFF strategy of the equalizer using threshold based on signal to noise ratio (SNR) and inter symbol interference that indirectly helps in designing an energy efficient wireless receiver. Evaluation parameters like mean square error (MSE), eye diagram and symbol error rate (SER) have been considered in this paper to prove the efficiency of the proposed algorithm. The MSE value decreases to the range of $$10^{ - 2}$$ with a varying training testing (I/K) ratio of 0.05 to 0.5. In addition, the proposed equalizer model outperforms the other existing methods in terms of SER by revealing a low value of 0.001 in 7 dB SNR in indoor channel conditions.
Databáze: OpenAIRE
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