Multipath estimation based on modified ε-constrained rank-based differential evolution with minimum error entropy

Cheng, Lan and Yue, Hong and Xing, Yanjun and Ren, Mifeng (2018) Multipath estimation based on modified ε-constrained rank-based differential evolution with minimum error entropy. IEEE Access, 6 (1). pp. 61569-61582. ISSN 2169-3536 (https://doi.org/10.1109/ACCESS.2018.2875020)

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Abstract

Multipath is one of the dominant error sources for high-precision positioning systems, such as global navigation satellite systems (GNSS). The minimum mean square error (MSE) criterion is usually employed for multipath estimation under the assumption of Gaussian noise. For non-Gaussian noise as appeared in most practical applications, alternative solutions are required for multipath estimation. In this work, a multipath estimation algorithm is proposed based on the minimum error entropy (MEE) criterion under Gaussian or non-Gaussian noises. A key advantage of using MEE is that it can minimize the randomness of error signals, however, the shift-invariance characteristics in MEE may lead to a bias of the estimation result. To mitigate such a bias, an improved estimation strategy is proposed by integrating the second-order central moment of the estimation error together with the prior information of multipath parameters as a constraint. The multipath estimation problem is thus formulated as a constrained optimization problem. A modified ε-constrained rank-based differential evolution (εRDE) algorithm is developed to find the optimal solution. The effectiveness of the proposed algorithm, in terms of reducing the multipath estimation error and minimizing the randomness in the error signal, has been examined through case studies with Gaussian and non-Gaussian noises.

ORCID iDs

Cheng, Lan, Yue, Hong ORCID logoORCID: https://orcid.org/0000-0003-2072-6223, Xing, Yanjun and Ren, Mifeng;
  • Item type:Article
    ID code:65728
    Dates:
    Date
    Event
    11 November 2018
    Published
    9 October 2018
    Published Online
    24 September 2018
    Accepted
    Notes:© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
    Subjects:Technology > Electrical engineering. Electronics Nuclear engineering
    Department:Faculty of Engineering > Electronic and Electrical Engineering
    Depositing user: Pure Administrator
    Date deposited:10 Oct 2018 14:11
    Last modified:11 Nov 2024 12:07
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/65728
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