In this letter, we propose a novel packet detection and symbol timing synchronization algorithm for MB-OFDM UWB system over multi-path channel. To find more reliable and exact symbol timing, we utilize the merits of the auto- and cross-correlation at the same time. The auto-correlator can gather the energy of the received signal which is distorted by multipath fading. And, the cross-correlator can estimate symbol timing to sample level precision. We define the detection and symbol timing metric as the moving sum of autocorrelation of the pre-computed cross-correlated signals over zero pad duration. Simulation results show that the proposed algorithm can detect the presence of a signal with less than -4 dB SNR and find DFT window with at most 0.1 dB SNR reduction upon the receipt of two symbols.
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Sang-Hun YOON, Jong-Wha CHONG, "Packet Detection and Symbol Timing Synchronization Algorithm for Multi-Band OFDM UWB" in IEICE TRANSACTIONS on Communications,
vol. E89-B, no. 4, pp. 1433-1435, April 2006, doi: 10.1093/ietcom/e89-b.4.1433.
Abstract: In this letter, we propose a novel packet detection and symbol timing synchronization algorithm for MB-OFDM UWB system over multi-path channel. To find more reliable and exact symbol timing, we utilize the merits of the auto- and cross-correlation at the same time. The auto-correlator can gather the energy of the received signal which is distorted by multipath fading. And, the cross-correlator can estimate symbol timing to sample level precision. We define the detection and symbol timing metric as the moving sum of autocorrelation of the pre-computed cross-correlated signals over zero pad duration. Simulation results show that the proposed algorithm can detect the presence of a signal with less than -4 dB SNR and find DFT window with at most 0.1 dB SNR reduction upon the receipt of two symbols.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e89-b.4.1433/_p
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@ARTICLE{e89-b_4_1433,
author={Sang-Hun YOON, Jong-Wha CHONG, },
journal={IEICE TRANSACTIONS on Communications},
title={Packet Detection and Symbol Timing Synchronization Algorithm for Multi-Band OFDM UWB},
year={2006},
volume={E89-B},
number={4},
pages={1433-1435},
abstract={In this letter, we propose a novel packet detection and symbol timing synchronization algorithm for MB-OFDM UWB system over multi-path channel. To find more reliable and exact symbol timing, we utilize the merits of the auto- and cross-correlation at the same time. The auto-correlator can gather the energy of the received signal which is distorted by multipath fading. And, the cross-correlator can estimate symbol timing to sample level precision. We define the detection and symbol timing metric as the moving sum of autocorrelation of the pre-computed cross-correlated signals over zero pad duration. Simulation results show that the proposed algorithm can detect the presence of a signal with less than -4 dB SNR and find DFT window with at most 0.1 dB SNR reduction upon the receipt of two symbols.},
keywords={},
doi={10.1093/ietcom/e89-b.4.1433},
ISSN={1745-1345},
month={April},}
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TY - JOUR
TI - Packet Detection and Symbol Timing Synchronization Algorithm for Multi-Band OFDM UWB
T2 - IEICE TRANSACTIONS on Communications
SP - 1433
EP - 1435
AU - Sang-Hun YOON
AU - Jong-Wha CHONG
PY - 2006
DO - 10.1093/ietcom/e89-b.4.1433
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E89-B
IS - 4
JA - IEICE TRANSACTIONS on Communications
Y1 - April 2006
AB - In this letter, we propose a novel packet detection and symbol timing synchronization algorithm for MB-OFDM UWB system over multi-path channel. To find more reliable and exact symbol timing, we utilize the merits of the auto- and cross-correlation at the same time. The auto-correlator can gather the energy of the received signal which is distorted by multipath fading. And, the cross-correlator can estimate symbol timing to sample level precision. We define the detection and symbol timing metric as the moving sum of autocorrelation of the pre-computed cross-correlated signals over zero pad duration. Simulation results show that the proposed algorithm can detect the presence of a signal with less than -4 dB SNR and find DFT window with at most 0.1 dB SNR reduction upon the receipt of two symbols.
ER -