摘要
VI-CFAR算法是一种自适应CFAR算法,能够通过所处背景选择适合的CFAR算法。但VI-CFAR算法存在当前后参考单元内均有干扰目标时性能下降的问题。本文提出一种基于IQR的IQROS-CFAR算法并将其应用至VI-CFAR算法中。本文首先提出IQR-CFAR算法,该算法通过IQR剔除掉参考单元内的异常值,使其在多目标条件下的检测性能提高。此外,通过结合IQROS-CFAR算法与VI-CFAR算法,增强了VI-CFAR在多目标情况下的检测能力。仿真和实验结果证明了所提算法的有效性和优越性。
The VI-CFAR algorithm is an adaptive CFAR algorithm that can select a suitable CFAR algorithm based on the actual background.However,the VI-CFAR algorithm has the problem of performance degradation when there are interfering targets in both the front and rear reference cells.This paper proposes an IQR-based IQROS-CFAR algorithm and applies it to the VI-CFAR algorithm.First,the IOR-CFAR algorithm is employed to remove outliers in the reference cells through IQR,thereby improving the detection performance under multi-target conditions.In addition,the detection capability of the VI-CFAR algorithm under multi-target conditions is enhanced by combining the IQROS-CFAR algorithm with the VI-CFAR algorithm.Simulation and test results show the effectiveness and superiority of the proposed algorithm.
作者
王佳琪
王伟
张俊
WANG Jiaqi;WANG Wei;ZHANG Jun(Xi'an Electronic Engineering Research Institute,Xi'an 710100)
出处
《火控雷达技术》
2025年第4期49-54,共6页
Fire Control Radar Technology
