Performance enhancement of approximated model based near‐field sources localisation techniques

Singh, Parth Raj; Wang, Yide; Chargé, Pascal

doi:10.1049/iet-spr.2017.0006

Cited by 8 publications

(4 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition, other previous works apply the Fresnel approximation to arrays with special geometries, e.g. uniform linear arrays [36]- [39], and account for the model mismatch while evaluating the positioning performance [40].…”

Section: Introductionmentioning

confidence: 99%

Radio Positioning With EM Processing of the Spherical Wavefront

Guidi

Dardari

2021

IEEE Trans. Wireless Commun.

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 99%

Radio Positioning With EM Processing of the Spherical Wavefront

Guidi

Dardari

2021

IEEE Trans. Wireless Commun.

View full text Add to dashboard Cite

“…This mismatch has recently been noticed to jeopardize the achievable positioning precision [11]. In [12] a lookup table is used for ULA model correction. The maximum likelihood (ML) algorithm in [7] exploits the exact model, but includes a computationally expansive recursion.…”

Section: Introductionmentioning

confidence: 99%

Spherical Wave Positioning Based on Curvature of Arrival by an Antenna Array

Zhang

Jost

Pöhlmann

et al. 2019

IEEE Wireless Commun. Lett.

View full text Add to dashboard Cite

Array processing is a key technology for emerging mobile networks, especially in short to moderate range and LOS scenarios. In these scenarios, the incoming wavefront can be modeled by a spherical wave. The wavefront curvature, i.e. Curvature of Arrival (CoA), contains position information of the transmitter and is observable by an antenna array potentially asynchronous and non-coherent to the transmitter. We derive a simplified expression of the spherical wave positioning (SWP) Cramér-Rao bound (CRB) for arbitrary centro-symmetric arrays (CSAs), which provides a geometrical inference about the achievable performance. Additionally, a low complexity CoA positioning algorithm is proposed. In contrast to conventional methods, the proposed algorithm requires neither multiple anchors nor coordination between devices. It also outperforms the Fresnel approximation based SWP algorithms by overcoming the model mismatch. Therefore, the proposed CoA positioning algorithm is promising for precise positioning in future mobile networks.

show abstract

“…In addition, other previous works apply the Fresnel approximation to arrays with special geometries, e.g. uniform linear arrays [28]- [31], and introduce a model mismatch that might jeopardize the achievable positioning precision [32], and thus solutions based on look-up tables have been proposed [33].…”

Section: Introductionmentioning

confidence: 99%

Radio Positioning with EM Processing of the Spherical Wavefront

Guidi¹,

Dardari²

2019

Preprint

View full text Add to dashboard Cite

Next 5G and beyond applications have brought a tremendous interest towards array systems employing an extremely large number of antennas, so that the technology that might be in place for communication can be also exploited for positioning. In particular, in this paper we investigate the possibility to infer the position of an omnidirectional transmitter by retrieving the information from the incident spherical wavefront through its EM processing. Despite such a post-processing of the curvature wavefront has been mainly considered in the past at microwave and acoustic frequencies using extremely large antennas, it is of interest to explore the opportunities offered in the context of next 5G and beyond systems. Thus, differently from the state-of-the-art, here we first introduce a dedicated general model for different EM processing configurations, and successively we investigate the trade-off between the attainable positioning performance and the complexity offered by the different architectures, that might entail or not the use of a lens, that can be either reconfigurable or not. Indeed, we analyze also the effect of the interference, in order to evaluate the robustness of the considered system to the presence of multiple simultaneous transmitting sources. Results, obtained for different number of antennas, i.e., for different array apertures, confirm the possibility to achieve interesting positioning performance using a single antenna array with limited dimensions.

show abstract

Performance enhancement of approximated model based near‐field sources localisation techniques

Cited by 8 publications

References 12 publications

Radio Positioning With EM Processing of the Spherical Wavefront

Radio Positioning With EM Processing of the Spherical Wavefront

Spherical Wave Positioning Based on Curvature of Arrival by an Antenna Array

Radio Positioning with EM Processing of the Spherical Wavefront

Contact Info

Product

Resources

About