An exact model-based method for near-field sources localization with bistatic MIMO system

Abstract : In this paper, we propose an exact model-based method for near-field sources localization with a bistatic multiple input, multiple output (MIMO) radar system, and compare it with an approximated model-based method. The aim of this paper is to propose an efficient way to use the exact model of the received signals of near-field sources in order to eliminate the systematic error introduced by the use of approximated model in most existing near-field sources localization techniques. The proposed method uses parallel factor (PARAFAC) decomposition to deal with the exact model. Thanks to the exact model, the proposed method has better precision and resolution than the compared approximated model-based method. The simulation results show the performance of the proposed method.
Complete list of metadatas

Cited literature [29 references]  Display  Hide  Download

https://hal-univ-rennes1.archives-ouvertes.fr/hal-01508050
Contributor : Laurent Jonchère <>
Submitted on : Wednesday, June 20, 2018 - 1:42:22 PM
Last modification on : Wednesday, September 11, 2019 - 9:52:02 AM

File

singh- sensors-17-00723.pdf
Publisher files allowed on an open archive

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Parth Raj Singh, Yide Wang, Pascal Chargé. An exact model-based method for near-field sources localization with bistatic MIMO system. Sensors, MDPI, 2017, 17 (4), pp.723. ⟨10.3390/s17040723⟩. ⟨hal-01508050⟩

Share

Metrics

Record views

174

Files downloads

88