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Published on: February 12, 2014
Hybrid robust beamforming for enhanced multiple moving object detection with phased array scanning radar
Sheikh Shafaet Islam1,2, Md Selim Hossain3, Shariful Islam4
1Department of Electrical and Electronic Engineering, Rajshahi University of Engineering & Technology (RUET), Rajshahi, 6204, Bangladesh. shafaet.niloy21@gmail.com.
A new phased array radar using a hybrid robust beamformer significantly improves detection and tracking of multiple objects in noisy environments. This advanced radar system achieves 99.29% accuracy, outperforming conventional methods.
Area of Science:
- Radar Systems Engineering
- Signal Processing
- Array Antennas
Background:
- Conventional radar systems struggle with interference and noise, limiting their effectiveness in complex environments.
- Phased array radars offer enhanced capabilities but require robust beamforming for optimal performance.
- Existing beamforming techniques have limitations in handling multiple targets and strong interferences simultaneously.
Purpose of the Study:
- To develop and evaluate a novel hybrid robust beamforming technique for phased array radar systems.
- To enhance the capability of radar systems for detecting and tracking multiple moving objects in noisy conditions.
- To improve interference rejection performance compared to conventional radar methods.
Main Methods:
- A 30×30 Uniform Rectangular Array (URA) based phased array radar system was designed.
- A hybrid robust beamformer, combining Minimum Variance Distortionless Response (MVDR) and Linearly Constrained Minimum Variance (LCMV) with diagonal loading, was employed.
- Initial simulations and experimental validation were performed on a 1×16 Uniform Linear Array (ULA) system with a conventional beamformer.
Main Results:
- The conventional beamformer on a ULA system achieved 89.80% accuracy in object detection under well-conditioned scenarios but failed in noisy environments.
- The proposed hybrid robust beamformer on the 30×30 URA system demonstrated superior performance in simulations.
- The advanced phased array radar system achieved an overall accuracy of 99.29% for multiple object detection and interference rejection.
Conclusions:
- The proposed hybrid robust beamforming approach significantly enhances phased array radar performance in challenging, noisy environments.
- The 30×30 URA-based system with the novel beamformer offers a robust solution for multi-object detection and interference suppression.
- This advanced radar technology represents a substantial improvement over conventional radar systems for complex operational scenarios.
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