一种新的分块恒虚警率检测技术

摘要

Only in the specific background environment can the classic parametric constant false alarm rate (CFAR)get higher detection performance,but low-altitude surveillance radar is working in more complex envi-ronment and it needs a more stable detector for clutter environment. For this reason,the traditional detection techniques are improved,moreover a new CFAR detection technique,designated as divided block CFAR (DB-CFAR),is proposed. The technique improves its adaptability for different environment by dividing appropriately the reference window to make up for that the traditional CFAR detection technique needs the distribution of clut-ter background and enhance the universality of the detection algorithm. Its theoretical formula of false alarm rate in homogeneous background and clutter edge environment is derived. The result of computer simulation confirms the technique′s feasibility and effectiveness.%　　经典的参量型恒虚警率检测器只在特定的背景环境下才能得到较高的检测性能，而低空监视雷达的工作环境较为复杂，需要一种对杂波环境具有较强稳定性的检测器。为此，对传统的检测技术进行了改进，提出了一种新的分块恒虚警率检测技术。该技术通过对参考单元进行适当分块来提高对不同环境的适应能力，弥补了传统恒虚警率检测技术需要杂波背景分布的不足，增强了检测算法的通用性。给出了该算法在均匀杂波环境和杂波边缘环境下的虚警概率理论公式。计算机仿真验证了该技术的可行性和有效性。