TY - GEN
T1 - Channel Estimation and Equalization Design with SNR Decision Based Universal Threshold for Sub-THz Single Carrier Baseband Receiver
AU - Liao, Feng Ju
AU - Tu, Chung Lun
AU - Jou, Shyh Jye
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - In this paper, a Golay-correlator SNR decision based universal threshold (GC-SNR-UT) method for channel estimation with frequency domain equalizer (FDE) in sub-THz band is proposed. The SNR decision based universal threshold denoising method combines the SNR decision mechanism with the threshold for mean square error optimization (TMSE) and the universal threshold formula. The simulation environment incorporates channel effect based on IEEE 802.15.3d standard and additive white Gaussian noise (AWGN). By implementing the proposed SNR decision based universal threshold (SNR-UT) denoising method, the computational complexity can be reduced by about 50% compared to the two-stage universal threshold, and non-linear operations are not required. Furthermore, it improves the required SNR by about 0.9 dB at the uncoded BER requirement of 1.9 ×10-4 compared to results without any noise mitigation. Notably, it provides about a 2.2 dB margin to handle other non-ideal effects. In the hardware implementation, we use the TSMC 16 nm FinFET process to achieve a data transmission with a bandwidth of 3.52 GHz. The core area and power are 0.142 mm2 and 654.2 mW, respectively for the proposed design.
AB - In this paper, a Golay-correlator SNR decision based universal threshold (GC-SNR-UT) method for channel estimation with frequency domain equalizer (FDE) in sub-THz band is proposed. The SNR decision based universal threshold denoising method combines the SNR decision mechanism with the threshold for mean square error optimization (TMSE) and the universal threshold formula. The simulation environment incorporates channel effect based on IEEE 802.15.3d standard and additive white Gaussian noise (AWGN). By implementing the proposed SNR decision based universal threshold (SNR-UT) denoising method, the computational complexity can be reduced by about 50% compared to the two-stage universal threshold, and non-linear operations are not required. Furthermore, it improves the required SNR by about 0.9 dB at the uncoded BER requirement of 1.9 ×10-4 compared to results without any noise mitigation. Notably, it provides about a 2.2 dB margin to handle other non-ideal effects. In the hardware implementation, we use the TSMC 16 nm FinFET process to achieve a data transmission with a bandwidth of 3.52 GHz. The core area and power are 0.142 mm2 and 654.2 mW, respectively for the proposed design.
KW - IEEE 802.15.3d
KW - SNR estimation
KW - sparse channel estimation
KW - sub-terahertz
KW - time domain threshold
UR - http://www.scopus.com/inward/record.url?scp=85198535772&partnerID=8YFLogxK
U2 - 10.1109/ISCAS58744.2024.10558005
DO - 10.1109/ISCAS58744.2024.10558005
M3 - Conference contribution
AN - SCOPUS:85198535772
T3 - Proceedings - IEEE International Symposium on Circuits and Systems
BT - ISCAS 2024 - IEEE International Symposium on Circuits and Systems
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 IEEE International Symposium on Circuits and Systems, ISCAS 2024
Y2 - 19 May 2024 through 22 May 2024
ER -