Adaptive Polarization Modulation for Subarray-Based Monopulse Radar Angular Superresolution

Monopulse measurement is a crucial technology for angle measurement in the radar field. Despite its importance, it faces limitations due to its processing mechanism, specifically its inability to resolve multiple targets within a resolution cell. To address this challenge, we introduce a subarray-based polarimetric monopulse (PM) technique designed for high-efficiency super-resolution. First, we analyze the issues encountered by conventional monopulse (CM) technology. We then introduce the concept of polarization modulation as a means to achieve target resolution by establishing a polarimetric monopulse signal model. Subsequently, leveraging subarray redivision, we propose a monopulse two-target resolution technology that employs adaptive polarization modulation. This approach only marginally increases computational load compared to CM. Furthermore, based on the derivation of the statistical resolution criterion, we establish the relationship between polarization difference and super-resolution gain. We intuitively evaluate the impact of target polarization differences on resolution performance using the polarization super-resolution multiple surface. Numerical simulations and experimental results confirm the efficacy of our proposed method.