QR Iteration-Based Multiple Signal Classification Algorithm for Unexploded Ordnance Imaging

This paper proposes a QR iteration decomposition-based time reversal multiple signal classification algorithm (QR-MUSIC). By replacing the traditional singular value decomposition (SVD) with a Householder transformation-driven QR iterative decomposition of the multistatic data matrix (MDM), the method addresses the prolonged execution time of time reversal algorithms in scenarios with high real-time requirements. Simulation results demonstrate that the proposed algorithm achieves accurate target localization and high-resolution imaging while reducing average computational time by 89.28%, significantly enhancing imaging efficiency.