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An Exact Model-Based Method for Near-Field Sources Localization with Bistatic MIMO System.

Parth Raj Singh¹, Yide Wang², Pascal Chargé³

¹Institute of Electronics and Telecommunications of Rennes (IETR), UMR CNRS 6164, Polytech Nantes, Rue Christian Pauc, BP 50609, 44306 Nantes CEDEX 3, France. parth-raj.singh@etu.univ-nantes.fr.

Sensors (Basel, Switzerland)

|March 31, 2017

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This study introduces an exact model for near-field source localization using bistatic multiple-input, multiple-output (MIMO) radar. The novel approach improves accuracy and resolution by eliminating errors from approximated models.

Area of Science:

Radar Systems Engineering
Signal Processing
Electromagnetics

Background:

Near-field source localization is crucial for various applications.
Existing methods often use approximated models, introducing systematic errors.
Bistatic multiple-input, multiple-output (MIMO) radar systems offer unique advantages for localization.

Purpose of the Study:

To propose an exact model-based method for near-field source localization.
To eliminate systematic errors inherent in approximated models.
To enhance the precision and resolution of localization techniques.

Main Methods:

Utilizing an exact mathematical model of received signals.
Employing parallel factor (PARAFAC) decomposition for data analysis.

Keywords:

PARAFAC bistatic MIMO system near-field sources localization

Related Experiment Videos

Comparing the proposed exact method with an approximated model-based approach.

Main Results:

The exact model-based method demonstrates superior precision and resolution.
PARAFAC decomposition effectively processes the exact model.
Simulation results validate the enhanced performance of the proposed method.

Conclusions:

An exact model-based approach offers significant improvements for near-field source localization.
The proposed method overcomes limitations of approximated models.
This technique enhances the capabilities of bistatic MIMO radar systems.