@InProceedings{8081706,
  author = {O. Bialer and D. Raphaeli and A. J. Weiss},
  booktitle = {2017 25th European Signal Processing Conference (EUSIPCO)},
  title = {Robust time-of-arrival estimation in multipath channels with OFDM signals},
  year = {2017},
  pages = {2724-2728},
  abstract = {Time-of-arrival (TOA) estimation of OFDM signals in multipath channels is challenging, especially when the signal bandwidth is limited, such as is the case of WIFI. In this paper, a novel low complexity TOA estimation algorithm is developed for OFDM signals that is robust to various multipath environments. We approximate the received signal as Gaussian with a proposed autocorrelation model, and then derive the Maximum Likelihood estimator with an efficient implementation algorithm. The estimator performance was tested with off-the-shelf WIFI 802.11g routers. The results show that the proposed TOA estimator outperforms other known reference methods over various indoor environments.},
  keywords = {maximum likelihood estimation;multipath channels;OFDM modulation;time-of-arrival estimation;wireless channels;wireless LAN;off-the-shelf Wi-Fi 802.11g routers;autocorrelation model;low complexity TOA estimation algorithm;maximum likelihood estimator;estimator performance;received signal;multipath environments;signal bandwidth;multipath channels;time-of-arrival estimation;Complexity theory;Time of arrival estimation;OFDM;Maximum likelihood estimation;Delays;Multipath channels;Indoor environments},
  doi = {10.23919/EUSIPCO.2017.8081706},
  issn = {2076-1465},
  month = {Aug},
  url = {https://www.eurasip.org/proceedings/eusipco/eusipco2017/papers/1570347546.pdf},
}

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In this paper, a novel low complexity TOA estimation algorithm is developed for OFDM signals that is robust to various multipath environments. We approximate the received signal as Gaussian with a proposed autocorrelation model, and then derive the Maximum Likelihood estimator with an efficient implementation algorithm. The estimator performance was tested with off-the-shelf WIFI 802.11g routers. 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Weiss},\n booktitle = {2017 25th European Signal Processing Conference (EUSIPCO)},\n title = {Robust time-of-arrival estimation in multipath channels with OFDM signals},\n year = {2017},\n pages = {2724-2728},\n abstract = {Time-of-arrival (TOA) estimation of OFDM signals in multipath channels is challenging, especially when the signal bandwidth is limited, such as is the case of WIFI. In this paper, a novel low complexity TOA estimation algorithm is developed for OFDM signals that is robust to various multipath environments. We approximate the received signal as Gaussian with a proposed autocorrelation model, and then derive the Maximum Likelihood estimator with an efficient implementation algorithm. The estimator performance was tested with off-the-shelf WIFI 802.11g routers. 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