A Range and Doppler Alignment Algorithm for Multiple Moving Targets in Sparse Subband Fusion

Abstract

The sparse subband fusion techniques achieve range super-resolution and show potential for application in super-resolution detection of multiple moving targets. This application requires intersubband range and Doppler alignments for multiple moving targets. However, existing algorithms often rely on strict assumptions about target velocities, which significantly limits their applicability. To address this issue, this letter introduces a velocity-local-compensation improved Keystone transform (VLC-IKT) for intrasubband motion compensation and intersubband Doppler alignment, without imposing constraints on target velocities. Additionally, an improved range profiles cross-correlation algorithm (IRPCC) is proposed to align intersubband ranges. The simulation results confirm that the proposed algorithm effectively aligns intersubband range and Doppler for multiple moving targets with arbitrary velocities, significantly enhancing both the fused signal-to-noise ratio (SNR) and probability of detection (POD), especially in low SNR conditions, thereby establishing a foundation for applying sparse subband fusion to super-resolution detection of multiple moving targets.