Iterative Implementation Method for Robust Target Localization in a Mixed Interference Environment
| Author(s) | Liu, Yuan | |
| Author(s) | Xia, Xiang-Gen | |
| Author(s) | Liu, Hongwei | |
| Author(s) | Nguyen, Anh H. T. | |
| Author(s) | Khong, Andy W. H. | |
| Date Accessioned | 2022-02-09T21:47:50Z | |
| Date Available | 2022-02-09T21:47:50Z | |
| Publication Date | 2021-11-30 | |
| Description | Copyright 2021 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. This article was originally published in IEEE Transactions on Geoscience and Remote Sensing. The version of record is available at: https://doi.org/10.1109/TGRS.2021.3131327 | en_US |
| Abstract | For the problem of target localization under the multipath propagation environment, the existing methods are mainly restricted to the limited prior information of complex reflections, especially when the target is embedded in a mixed interference environment. They may suffer from performance degradation due to the shortage of target classification ability. To address this problem, we propose a target localization method based on iterative implementation with semi-unitary constraint and eigen-decomposition technique, where a practical propagation scenario based on the spherical earth model is considered. Compared to the previous works, the proposed method can automatically distinguish a real target from the mixed interference environment with improved localization accuracy. Neither additional decorrelation preprocessing nor prior information of the dynamic scenario is required. Both simulations and real data experiments validate the effectiveness and robustness of the proposed method. | en_US |
| Sponsor | National Science Fund for Distinguished Young Scholars (Grant Number: 61525105) | en_US |
| Citation | Y. Liu, X. -G. Xia, H. Liu, A. H. T. Nguyen and A. W. H. Khong, "Iterative Implementation Method for Robust Target Localization in a Mixed Interference Environment," in IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2021.3131327. | en_US |
| ISSN | 1558-0644 | |
| URL | https://udspace.udel.edu/handle/19716/30284 | |
| Language | en_US | en_US |
| Publisher | IEEE Transactions on Geoscience and Remote Sensing | en_US |
| Keywords | Complex multipath propagation | en_US |
| Keywords | direction of arrival (DOA) estimation | en_US |
| Keywords | mixed interference | en_US |
| Keywords | semi-unitary constraint | en_US |
| Keywords | target classification and localization | en_US |
| Title | Iterative Implementation Method for Robust Target Localization in a Mixed Interference Environment | en_US |
| Type | Article | en_US |
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