TY - GEN
T1 - Maximum a-Posteriori Equalizer for Sparse Walsh Hadamard Modulation
AU - Bomfin, Roberto
AU - Chafii, Marwa
AU - Nimr, Ahmad
AU - Fettweis, Gerhard
N1 - Funding Information:
ACKNOWLEDGMENT This work was supported by the European Union’s Horizon 2020 research and innovation programme through the project iNGENIOUS under grant agreement No.957216, and by the German Research Foundation (DFG, Deutsche Forschungsge-meinschaft) as part of Germany’s Excellence Strategy - EXC 2050/1 - Project ID 390696704 - Cluster of Excellence ”Centre for Tactile Internet with Human-in-the-Loop” (CeTI).
Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Several waveforms have been recently proposed in the literature as alternatives to orthogonal frequency division multiplexing (OFDM) for frequency selective channels. However, in order to achieve a superior performance, it is necessary to employ iterative equalization. In this paper, we consider the sparse Walsh-Hadamard (SWH) waveform with maximum a-Posterior (MAP) equalization. We show that the inherent structure of the SWH matrix allows a significant reduction in the number of multiplications required for the MAP equalizer implementation. The proposed solutions is compared with the zero padding single carrier (ZP-SC) with MAP equalization. We show that SWH with MAP equalization achieves a good trade-off performance vs complexity compared with ZP-SC. In particular, for 16-QAM under the Proakis C channel, ZP-SC is not even feasible while SWH with MAP equalization has manageable complexity.
AB - Several waveforms have been recently proposed in the literature as alternatives to orthogonal frequency division multiplexing (OFDM) for frequency selective channels. However, in order to achieve a superior performance, it is necessary to employ iterative equalization. In this paper, we consider the sparse Walsh-Hadamard (SWH) waveform with maximum a-Posterior (MAP) equalization. We show that the inherent structure of the SWH matrix allows a significant reduction in the number of multiplications required for the MAP equalizer implementation. The proposed solutions is compared with the zero padding single carrier (ZP-SC) with MAP equalization. We show that SWH with MAP equalization achieves a good trade-off performance vs complexity compared with ZP-SC. In particular, for 16-QAM under the Proakis C channel, ZP-SC is not even feasible while SWH with MAP equalization has manageable complexity.
KW - iterative receiver
KW - MAP equalizer
KW - sparse Walsh-Hadamard
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U2 - 10.1109/GLOBECOM48099.2022.10001159
DO - 10.1109/GLOBECOM48099.2022.10001159
M3 - Conference contribution
AN - SCOPUS:85146926214
T3 - 2022 IEEE Global Communications Conference, GLOBECOM 2022 - Proceedings
SP - 5917
EP - 5922
BT - 2022 IEEE Global Communications Conference, GLOBECOM 2022 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE Global Communications Conference, GLOBECOM 2022
Y2 - 4 December 2022 through 8 December 2022
ER -