Target Detection Method for Starlink Passive Radar Based on Adaptive Hybrid Interpolation Keystone Transform

To address the challenge of simultaneously satisfying accuracy and real-time requirements in Range Migration Correction (RCMC) for Starlink passive radar, this paper proposes a Keystone Transform method based on adaptive hybrid interpolation. This method utilizes Ordered Statistics-Constant False Alarm Rate (OS-CFAR) threshold detection combined with connected component analysis to automatically identify target main lobe energy regions. Subsequently, high-precision and medium-precision Sinc interpolations are selectively applied during the resampling process based on energy distribution, achieving a dynamic trade-off between interpolation accuracy and algorithmic complexity. Simulation results demonstrate that the proposed method improves energy focusing and effectively suppresses aliasing artifacts while maintaining a controllable computational load, thereby meeting the application requirements for real-time RCMC under Starlink signal conditions.