OSGO-CFAR算法检测性能分析及FPGA实现

Detection performance analysis and FPGA implementation of OSGO-CFAR algorithm

针对均值类恒虚警检测器在多目标环境下小目标被遮挡的问题,以OSGO-CFAR作为算法基础,通过Matlab仿真对比OSGO-CFAR与CA-CFAR的检测性能,经过流水处理和逻辑资源优化,将OSGO-CFAR算法移植到FPGA处理平台。研究表明,基于FPGA的OSGO-CFAR检测器在多目标环境中能大大提高小目标的检测概率。

In view of the problem that small targets are covered in the multi-target environment for ML-CFAR detectors, based on the OSGO-CFAR algorithm, the detection performances of the OSGO- CFAR and the CA-CFAR algorithms are compared through the Matlab simulation. The OSGO-CFAR algorithm is transplanted on the FPGA platform after pipeline processing and logic resource optimization. Studies show that the FPGA-based OSGO-CFAR detector is superior in improving the detection probability of small targets in the muhi-target environment.