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Low-Complexity 2D-DOD and 2D-DOA Estimation in Bistatic MIMO Radar Systems: A Reduced-Dimension MUSIC Algorithm
Mushtaq Ahmad1, Xiaofei Zhang2, Xin Lai1
1College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.
Sensors (Basel, Switzerland)
|May 11, 2024
Summary
A new technique enhances estimation of two-dimensional direction of departure (2D-DOD) and arrival (2D-DOA) in bistatic MIMO radar. This method reduces computational complexity for more precise and efficient angular parameter estimation.
Area of Science:
- Signal Processing
- Radar Systems Engineering
- Array Signal Processing
Background:
- Bistatic Multiple-Input Multiple-Output (MIMO) radar systems face challenges in accurately estimating two-dimensional direction of departure (2D-DOD) and direction of arrival (2D-DOA).
- Conventional methods often involve high computational complexity, limiting real-time applications and precision.
Purpose of the Study:
- To introduce a novel, computationally efficient algorithm for precise 2D-DOD and 2D-DOA estimation in bistatic Uniform Planar Array (UPA) MIMO radar.
- To reduce the dimensionality of the estimation problem while maintaining high accuracy.
Main Methods:
- The proposed method utilizes a reduced-dimension (RD) MUSIC algorithm.
- It transforms the four-dimensional (4D) estimation problem into efficient two-dimensional (2D) searches.
- A 4D spatial spectrum function is constructed by exploiting spatial diversity for resolving multiple targets.
Main Results:
- The algorithm significantly reduces computational complexity compared to conventional MUSIC algorithms.
- Simulation results demonstrate robust and high-resolution estimations of 2D-DOD and 2D-DOA.
- The proposed technique achieves an optimal balance between computational efficiency and estimation accuracy.
Conclusions:
- The developed RD MUSIC-based technique offers a significant advancement in bistatic MIMO radar performance.
- It provides substantial computational savings and maintains high precision, setting a new benchmark.
- This method is highly effective for accurately estimating angular parameters in complex scenarios.
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