Hybrid robust beamforming for enhanced multiple moving object detection with phased array scanning radar.
Sheikh Shafaet Islam, Md Selim Hossain, Shariful Islam, Rakibul Hasan
Abstract
Open AccessThe deficiencies of conventional radar systems can be addressed by utilizing a phased array scanning radar with robust beamforming capable of detecting and tracking multiple moving objects while rejecting interferences under noisier environments. This paper offers the idea of a 30 × 30 Uniform Rectangular Array (URA)-based radar system with the employment of a hybrid robust beamformer, a combination of Minimum Variance Distortionless Response (MVDR) and Linearly Constrained Minimum Variance (LCMV) beamformer with diagonal loading. Initially, a simulation work with experimental validation of a 1 × 16 Uniform Linear Array (ULA)-based radar system with a conventional beamformer is performed under a well-conditioned scenario, and it shows an overall accuracy of 89.80% for object detection; however, it is not feasible for the noisier condition. In order to enhance radar performance in challenging situations, a new hybrid robust beamforming model on a 30 × 30 URA-based phased array scanning radar system is used. Comparing the proposed radar system to conventional radar systems, the proposed phased array radar shows an overall accuracy of 99.29% for multiple object detection and interference rejection, according to the simulation results.