Direct Position Determination of Unknown Signals in the Presence of Multipath Propagation

A novel geolocation architecture, termed “Multiple Transponders and Multiple Receivers for Multiple Emitters Positioning System (MTRE)” is proposed in this paper. Existing Direct Position Determination (DPD) methods take advantage of a rather simple channel assumption (line of sight channels with co...

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Main Authors: Jianping Du, Ding Wang, Wanting Yu, Hongyi Yu
Format: Article
Language:English
Published: MDPI AG 2018-03-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/18/3/892
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author Jianping Du
Ding Wang
Wanting Yu
Hongyi Yu
author_facet Jianping Du
Ding Wang
Wanting Yu
Hongyi Yu
author_sort Jianping Du
collection DOAJ
description A novel geolocation architecture, termed “Multiple Transponders and Multiple Receivers for Multiple Emitters Positioning System (MTRE)” is proposed in this paper. Existing Direct Position Determination (DPD) methods take advantage of a rather simple channel assumption (line of sight channels with complex path attenuations) and a simplified MUltiple SIgnal Classification (MUSIC) algorithm cost function to avoid the high dimension searching. We point out that the simplified assumption and cost function reduce the positioning accuracy because of the singularity of the array manifold in a multi-path environment. We present a DPD model for unknown signals in the presence of Multi-path Propagation (MP-DPD) in this paper. MP-DPD adds non-negative real path attenuation constraints to avoid the mistake caused by the singularity of the array manifold. The Multi-path Propagation MUSIC (MP-MUSIC) method and the Active Set Algorithm (ASA) are designed to reduce the dimension of searching. A Multi-path Propagation Maximum Likelihood (MP-ML) method is proposed in addition to overcome the limitation of MP-MUSIC in the sense of a time-sensitive application. An iterative algorithm and an approach of initial value setting are given to make the MP-ML time consumption acceptable. Numerical results validate the performances improvement of MP-MUSIC and MP-ML. A closed form of the Cramér–Rao Lower Bound (CRLB) is derived as a benchmark to evaluate the performances of MP-MUSIC and MP-ML.
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spelling doaj.art-5d8e2c4d3947492a854187eab6d209d32022-12-22T04:22:06ZengMDPI AGSensors1424-82202018-03-0118389210.3390/s18030892s18030892Direct Position Determination of Unknown Signals in the Presence of Multipath PropagationJianping Du0Ding Wang1Wanting Yu2Hongyi Yu3National Digital Switching System Engineering and Technological Research Center, Zhengzhou 450002, ChinaNational Digital Switching System Engineering and Technological Research Center, Zhengzhou 450002, ChinaNational Digital Switching System Engineering and Technological Research Center, Zhengzhou 450002, ChinaNational Digital Switching System Engineering and Technological Research Center, Zhengzhou 450002, ChinaA novel geolocation architecture, termed “Multiple Transponders and Multiple Receivers for Multiple Emitters Positioning System (MTRE)” is proposed in this paper. Existing Direct Position Determination (DPD) methods take advantage of a rather simple channel assumption (line of sight channels with complex path attenuations) and a simplified MUltiple SIgnal Classification (MUSIC) algorithm cost function to avoid the high dimension searching. We point out that the simplified assumption and cost function reduce the positioning accuracy because of the singularity of the array manifold in a multi-path environment. We present a DPD model for unknown signals in the presence of Multi-path Propagation (MP-DPD) in this paper. MP-DPD adds non-negative real path attenuation constraints to avoid the mistake caused by the singularity of the array manifold. The Multi-path Propagation MUSIC (MP-MUSIC) method and the Active Set Algorithm (ASA) are designed to reduce the dimension of searching. A Multi-path Propagation Maximum Likelihood (MP-ML) method is proposed in addition to overcome the limitation of MP-MUSIC in the sense of a time-sensitive application. An iterative algorithm and an approach of initial value setting are given to make the MP-ML time consumption acceptable. Numerical results validate the performances improvement of MP-MUSIC and MP-ML. A closed form of the Cramér–Rao Lower Bound (CRLB) is derived as a benchmark to evaluate the performances of MP-MUSIC and MP-ML.http://www.mdpi.com/1424-8220/18/3/892direct position determinationMUSIC algorithmmaximum likelihood estimationconvex QPmulti-path geolocationactive set algorithm
spellingShingle Jianping Du
Ding Wang
Wanting Yu
Hongyi Yu
Direct Position Determination of Unknown Signals in the Presence of Multipath Propagation
Sensors
direct position determination
MUSIC algorithm
maximum likelihood estimation
convex QP
multi-path geolocation
active set algorithm
title Direct Position Determination of Unknown Signals in the Presence of Multipath Propagation
title_full Direct Position Determination of Unknown Signals in the Presence of Multipath Propagation
title_fullStr Direct Position Determination of Unknown Signals in the Presence of Multipath Propagation
title_full_unstemmed Direct Position Determination of Unknown Signals in the Presence of Multipath Propagation
title_short Direct Position Determination of Unknown Signals in the Presence of Multipath Propagation
title_sort direct position determination of unknown signals in the presence of multipath propagation
topic direct position determination
MUSIC algorithm
maximum likelihood estimation
convex QP
multi-path geolocation
active set algorithm
url http://www.mdpi.com/1424-8220/18/3/892
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