HPFIA: A High-Performance Fuzzy Inference Accelerator for Situation Assessment on Airborne Equipment

The ever-increasing multi-source fusion information perceived by situation assessment system pose a computational challenge to current airborne equipment. Fuzzy inference method introduced in situation assessment could effectively adapt to the incompleteness and uncertainty of situational information, but still struggling to meet the high-performance requirements under limited hardware resources on airborne equipment. Leveraging hardware accelerators (GPUs, FPGAs, etc.) to accelerate intensive computation like situation factor evaluation has become paramount. Since the lack of relevant acceleration methods in state-of-the-art researches, this paper presents the first-ever FPGA accelerator of the HPFIA to optimize calculation performance of situation assessment. Our designed accelerator delivers up to 237.48× performance improvement and 3230.15× better energy efficiency ratio over the software implementation on three universal computing platforms.