Using Geometric Algebra for Formulating Electromagnetic Propagation Ray-Tracing Preprocessing

Eid, Ahmad H.; Abuelenin, Sherif M.; Soliman, Heba Y.

doi:10.1007/978-3-030-39847-7_19

Cited by 2 publications

(2 citation statements)

References 15 publications

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“…The studies above based on analytical geometry modeling of multipath propagation implied prior information of the propagation model determined by the specific scenario, while the propagation model mismatching leads to significant localization error in the actual complex scene, especially in dense clutter environments. A widely used solution to predict EM wave propagation characteristics precisely is the ray-tracing technique based on physical optics (PO) which approximates the EM wave propagation in terms of rays [34,35]. The reflection, diffraction and transmission paths from the radar to the target can be computed with known scene information.…”

Section: Introductionmentioning

confidence: 99%

Radar Target Localization with Multipath Exploitation in Dense Clutter Environments

et al. 2023

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The performance of classic radar geometry based on the line-of-sight (LOS) signal transmitted from radar to the target in the free space is affected by multipath echoes in urban areas, where non-line-of-sight (NLOS) signals reflected by obstacles are received by the radar. Based on prior information of the urban situation, this article proposes a novel two-stage localization algorithm with multipath exploitation in a dense clutter environment. In the offline stage, multipath propagation parameters of uniformly distributed samples in the radar field of view are predicted by the ray-tracing technique. In the online stage, a rough location of the target is estimated by the maximum similarity between measurements and the predicted parameters of reference samples at different locations. The similarity is described by the likelihood between measurements and the predicted multipath parameters with respect to all possible associated hypotheses. A gating threshold is derived to exclude less likely hypotheses and reduce the computational burden. The accurate target location is acquired by a non-linear least squares (NLS) optimization of the associated multipath components. Simulation results in various noise conditions show that the proposed method provides robust and accurate target localization results under dense clutter conditions, and the offline pre-calculation of ray-tracing ensures the real-time performance of the proposed localization algorithm. The root mean square error (RMSE) of simulation results shows the advantage of the proposed method over the existing method. The presented results suggest that the proposed method can be applied to NLOS target localization applications in complex environments.

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Section: Introductionmentioning

confidence: 99%

Radar Target Localization with Multipath Exploitation in Dense Clutter Environments

et al. 2023

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“…The other type of multipath exploitation method based on simulation uses the ray-tracing algorithm to simulate the multipath propagation process. The ray-tracing method is a widely used technique to simulate multipath EM propagation characteristics [17,18]. In 2013, Fraunhofer Institute for Communication, Information Processing and Ergonomics in Germany designed a sequential Monte Carlo implementation of the probability hypothesis density filter to track mobile terminals in a large-scale urban scenario Degen [19,20].…”

Section: Introductionmentioning

confidence: 99%

A target localisation method with monostatic radar via multi‐observation data association

Ding

Wang

Jiang

et al. 2022

IET Radar Sonar & Navi

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Traditionally, radar-based localisation systems are designed to deal with targets in line-ofsight (LOS) scenarios. However, the performance of those radar systems is limited by multipath echoes reflected from non-line-of-sight (NLOS) targets and walls in the urban areas. In recent years, there has been an increasing interest in multipath exploitation methods aided by urban environmental knowledge. Based on the exploitation of space diversity provided by the multipath effect, this article proposes a novel two-stage localisation method using a single monostatic radar via association of multipath time-ofarrivals (TOAs). In the offline stage, reference TOA data at different locations is generated by a ray-tracing method to avoid the heterogeneity of multipath propagation at different locations, assuming that the environment information is completely known prior. In the online stage, the TOA set of multipath echoes from the target is estimated by a sparse reconstruction method to achieve super-resolution rather than the matched filter. Then based on the finite-set statistics (FISST) theory, a grid-based multi-observation data association (GMODA) algorithm is present as the likelihood function of the multipath measurement given a candidate location, which is followed by a maximum likelihood estimation to derive the location of the target. Furthermore, the global nearest neighbour approximation of GMODA is introduced to avoid combinatorial explosion in the association algorithm. Simulation and experiment results on a single antenna millimetrewave radar in various scenarios show that the proposed method achieves high localisation accuracy in both LOS and NLOS conditions while maintaining low computational cost at the same time. The presented results suggest that our method can be applied to target localisation applications in the complex urban environment. K E Y W O R D Smulti-observation data association, multipath exploitation, non-line-of-sight (NLOS), target localisation, timeof-arrival (TOA) estimationThis is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

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Using Geometric Algebra for Formulating Electromagnetic Propagation Ray-Tracing Preprocessing

Cited by 2 publications

References 15 publications

Radar Target Localization with Multipath Exploitation in Dense Clutter Environments

Radar Target Localization with Multipath Exploitation in Dense Clutter Environments

A target localisation method with monostatic radar via multi‐observation data association

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