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Antenna allocation in MIMO radar with widely separated antennas for multi-target detection
Hao Gao1, Jian Wang2, Chunxiao Jiang3
1Department of Electronic Engineering, Tsinghua University, Beijing 100084, China. h-gao10@mails.tsinghua.edu.cn.
Sensors (Basel, Switzerland)
|October 29, 2014
Summary
This study introduces multi-target diversity for Multiple-Input Multiple-Output (MIMO) radar, optimizing detection of multiple targets. New antenna allocation schemes improve performance over existing methods, especially with changing target numbers.
Area of Science:
- Radar Systems Engineering
- Signal Processing
- Optimization Theory
Background:
- Multiple-Input Multiple-Output (MIMO) radar systems with widely separated antennas are crucial for detecting multiple targets.
- Optimizing antenna allocation is key to enhancing detection performance in complex scenarios.
Purpose of the Study:
- To introduce and evaluate multi-target diversity for optimizing MIMO radar performance in multi-target detection.
- To propose and analyze two novel antenna allocation schemes: fixed allocation and antenna-time allocation.
Main Methods:
- Formulating antenna allocation as a minimum makespan scheduling problem.
- Employing branch-and-bound and enhanced factor 2 algorithms for antenna allocation.
- Optimizing antenna-time allocation based on illumination probabilities and relative entropy.
Main Results:
- Both proposed antenna allocation schemes significantly outperform systems without allocation across various conditions.
- The antenna-time allocation scheme demonstrates superior robustness compared to fixed allocation methods when the number of targets varies.
Conclusions:
- Multi-target diversity offers a valuable approach for enhancing MIMO radar performance in multi-target environments.
- The proposed antenna-time allocation strategy provides a flexible and robust solution for dynamic target scenarios.
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