A Multipath TDOA Estimation Algorithm Based on Correntropy under Impulsive Noise Environment

Sen LI; Jifu WANG; Bin LIN

doi:10.11999/JEIT200358

Volume 43 Issue 2

Feb. 2021

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Sen LI, Jifu WANG, Bin LIN. A Multipath TDOA Estimation Algorithm Based on Correntropy under Impulsive Noise Environment[J]. Journal of Electronics & Information Technology, 2021, 43(2): 289-295. doi: 10.11999/JEIT200358

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Sen LI, Jifu WANG, Bin LIN. A Multipath TDOA Estimation Algorithm Based on Correntropy under Impulsive Noise Environment[J]. Journal of Electronics & Information Technology, 2021, 43(2): 289-295. doi: 10.11999/JEIT200358

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A Multipath TDOA Estimation Algorithm Based on Correntropy under Impulsive Noise Environment

doi: 10.11999/JEIT200358

College of Information Science Technology, Dalian Maritime University, Dalian 116026, China

Funds: The National Natural Science Foundation of China (61971083), The Fundamental Research Funds for the Central University (3132019341)

Received Date: 2020-05-08
Rev Recd Date: 2020-11-19

Available Online: 2020-11-25

Publish Date: 2021-02-23

Abstract

Abstract

In order to realize the high-resolution multipath Time Difference Of Arrival (TDOA) estimation which is not limited by the resolution limit of correlation method under impulsive noise environment, a Correntropy Expectation-Maximum (CEM) high resolution multipath TDOA estimation algorithm is proposed based on the Maximum Correntropy Criterion (MCC). The multipath TDOA is estimated by transforming multi-dimensional optimization problems into multiple one-dimensional optimization problems. The simulation results show that the CEM algorithm has good estimation performance under strong impulsive noise and low SNR environment, and the selection of kernel size in CEM algorithm is not depend on the prior information of the impulsive noise.
- Multipath TDOA estimation,
- Expectation-Maximum (EM) algorithm,
- α-stable distribution,
- Maximum Correntropy Criterion (MCC)

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References(26)

References

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