A Fast DOA Estimation Method for MIMO Radar Based on an Online Sliding Window Qspice

In recent years, the Sparse Iterative Covariance Estimation (SPICE) algorithm has been applied to Direction of Arrival (DOA) estimation in MIMO radar, significantly enhancing radar resolution and quality. However, the high computational complexity of this algorithm poses challenges for real-time processing performance. In this paper, we introduce an online implementation framework for MIMO radar DOA estimation based on the SPICE algorithm. By incorporating sliding window processing, the complexity of the parameter space in each iteration is reduced with minimal resolution loss. Compared to existing SPICE algorithms, the proposed online sliding window qSPICE method achieves substantial computational savings without sacrificing performance. Simulation results demonstrate the superior performance of the proposed method.