Considering the obvious bias of the traditional interpolation method, a novel time delay estimation (TDE) interpolation method with sub-sample accuracy is presented in this paper. The proposed method uses a generalized extended approximation method to obtain the objection function. Then the optimized interpolation curve is generated by Second-order Cone programming (SOCP). Finally the optimal TDE can be obtained by interpolation curve. The delay estimate of proposed method is not forced to lie on discrete samples and the sample points need not to be on the interpolation curve. In the condition of the acceptable computation complexity, computer simulation results clearly indicate that the proposed method is less biased and outperforms the other interpolation algorithms in terms of estimation accuracy.
Zhixin LIU
Zhengzhou Institute of Information Science and Technology
Dexiu HU
Zhengzhou Institute of Information Science and Technology
Yongjun ZHAO
Zhengzhou Institute of Information Science and Technology
Chengcheng LIU
Zhengzhou Institute of Information Science and Technology
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Zhixin LIU, Dexiu HU, Yongjun ZHAO, Chengcheng LIU, "A Novel Time Delay Estimation Interpolation Algorithm Based on Second-Order Cone Programming" in IEICE TRANSACTIONS on Communications,
vol. E99-B, no. 6, pp. 1311-1317, June 2016, doi: 10.1587/transcom.2015EBP3386.
Abstract: Considering the obvious bias of the traditional interpolation method, a novel time delay estimation (TDE) interpolation method with sub-sample accuracy is presented in this paper. The proposed method uses a generalized extended approximation method to obtain the objection function. Then the optimized interpolation curve is generated by Second-order Cone programming (SOCP). Finally the optimal TDE can be obtained by interpolation curve. The delay estimate of proposed method is not forced to lie on discrete samples and the sample points need not to be on the interpolation curve. In the condition of the acceptable computation complexity, computer simulation results clearly indicate that the proposed method is less biased and outperforms the other interpolation algorithms in terms of estimation accuracy.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2015EBP3386/_p
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@ARTICLE{e99-b_6_1311,
author={Zhixin LIU, Dexiu HU, Yongjun ZHAO, Chengcheng LIU, },
journal={IEICE TRANSACTIONS on Communications},
title={A Novel Time Delay Estimation Interpolation Algorithm Based on Second-Order Cone Programming},
year={2016},
volume={E99-B},
number={6},
pages={1311-1317},
abstract={Considering the obvious bias of the traditional interpolation method, a novel time delay estimation (TDE) interpolation method with sub-sample accuracy is presented in this paper. The proposed method uses a generalized extended approximation method to obtain the objection function. Then the optimized interpolation curve is generated by Second-order Cone programming (SOCP). Finally the optimal TDE can be obtained by interpolation curve. The delay estimate of proposed method is not forced to lie on discrete samples and the sample points need not to be on the interpolation curve. In the condition of the acceptable computation complexity, computer simulation results clearly indicate that the proposed method is less biased and outperforms the other interpolation algorithms in terms of estimation accuracy.},
keywords={},
doi={10.1587/transcom.2015EBP3386},
ISSN={1745-1345},
month={June},}
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TY - JOUR
TI - A Novel Time Delay Estimation Interpolation Algorithm Based on Second-Order Cone Programming
T2 - IEICE TRANSACTIONS on Communications
SP - 1311
EP - 1317
AU - Zhixin LIU
AU - Dexiu HU
AU - Yongjun ZHAO
AU - Chengcheng LIU
PY - 2016
DO - 10.1587/transcom.2015EBP3386
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E99-B
IS - 6
JA - IEICE TRANSACTIONS on Communications
Y1 - June 2016
AB - Considering the obvious bias of the traditional interpolation method, a novel time delay estimation (TDE) interpolation method with sub-sample accuracy is presented in this paper. The proposed method uses a generalized extended approximation method to obtain the objection function. Then the optimized interpolation curve is generated by Second-order Cone programming (SOCP). Finally the optimal TDE can be obtained by interpolation curve. The delay estimate of proposed method is not forced to lie on discrete samples and the sample points need not to be on the interpolation curve. In the condition of the acceptable computation complexity, computer simulation results clearly indicate that the proposed method is less biased and outperforms the other interpolation algorithms in terms of estimation accuracy.
ER -