Related Experiment Videos
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
Summary
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.
- 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.