Dataset supporting: Low-Latency Jamming Mitigation in SWaP-Constrained GNSS Analog CRPAs via Hierarchical Dithered Null Steering

Dataset Supporting: Low-Latency Jamming Mitigation in SWaP-Constrained GNSS Analog CRPAs via Hierarchical Dithered Null SteeringOverviewThis dataset contains the measurement-level simulation data and precomputed weight vectors supporting the research paper of the same title. The data evaluates a novel hierarchical search framework designed to mitigate high-power GNSS interference using only raw analog power measurements, specifically tailored for size, weight, and power (SWaP)-constrained platforms such as UAVs.Data ContentsPrecomputed Look-Up Tables (LUTs): Complex beamforming weight vectors for a 4-element Uniform Circular Array (UCA). Spatial Performance Data: 2D spatial distributions of angular error and suppression levels across the full upper hemisphere (azimuth: 0–360°, zenith: 0–90°) averaged across 1000 Monte Carlo Trials.Methodology and Technical DetailsThe data was generated using custom MATLAB scripts (R2023b). The hierarchical algorithm employs a binary refinement strategy (k=2) combined with Dithered Multi-Pass Probing (DMP) to overcome spatial ambiguities caused by antenna null morphologies. Key simulation parameters include a Jammer-to-Noise Ratio (JNR) of 30 dB, a Minimum Discernibility Condition (MDC) threshold of 3 dB, and a target suppression of 40 dB.