ZHENG Zhe, ZHOU Yang, WU Siliang. A New Adaptive Subsample ETDE for Large-Range Time-Varying Delay Estimation Using Low-Order Interpolators[J]. Chinese Journal of Electronics, 2017, 26(4): 871-875. doi: 10.1049/cje.2016.08.020
Citation: ZHENG Zhe, ZHOU Yang, WU Siliang. A New Adaptive Subsample ETDE for Large-Range Time-Varying Delay Estimation Using Low-Order Interpolators[J]. Chinese Journal of Electronics, 2017, 26(4): 871-875. doi: 10.1049/cje.2016.08.020

A New Adaptive Subsample ETDE for Large-Range Time-Varying Delay Estimation Using Low-Order Interpolators

doi: 10.1049/cje.2016.08.020
Funds:  This work is supported by China Postdoctoral Science Foundation (No.2015M580997).
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  • Corresponding author: ZHOU Yang (corresponding author) was born in Beijing in 1985. He received the B.S. and Ph.D. degrees from Beijing Institute of Technology in 2008 and 2014 respectively. He is now working as post-doctoral fellow in Beijing Institute of Technology. His research interests in the field of generalized dynamic channel simulation. (E-mail: zhouyang850611@163.com)
  • Received Date: 2015-06-17
  • Rev Recd Date: 2015-09-14
  • Publish Date: 2017-07-10
  • We present a new adaptive subsample Explicit time delay estimator (ETDE) that is well suitable for determining and tracking the large-range time-varying delay between two noisy bandlimited signals only using low-order interpolators. Unlike conventional ETDE where a Fractional delay filter (FDF) is used, the new ETDE is based on a novel on-line interpolator which has the ability to optimally synthesize any continuously variable nonintegral sample delay. The theoretical derivations for our proposed on-line interpolator and the new ETDE algorithm are provided. Simulations are presented to evaluate the performance of the new estimator and to compare the performance with other estimators. Simulation results show that the new ETDE significantly outperforms FDF-based ETDE when the delay is large or varies in a large range, and the same filter orders are used.
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