中文摘要：

针对连续波穿墙雷达在检测过程中可能出现的高虚警及频率模糊区域内的目标丢失问题,该文提出了一种基于高维频率拟合技术的恒虚警目标定位算法。该算法首先根据恒虚警检测技术实时调节系统噪声阈值,抑制虚假目标的产生,然后利用2维拟合处理实现不同目标分量的初步识别和参数估计,最后结合检测的实际需求,通过自适应频率拟合算法对分离的各分量进行高维度的参数修正,并给出目标准确的定位结果。实验结果证明该算法能有效去除检测过程中的虚假目标,在不增加硬件复杂度的前提下,提高系统对不同探测环境的适应能力,并能在频率模糊区域内准确识别和定位多个目标。

英文摘要：

To solve the issue of high false-alarm rate and the target missing effect in frequency ambiguous areas during the detection process,a CFAR localization algorithm based on the high dimensional frequency fitting technology is proposed in this paper.For this algorithm,the CFAR technology is first applied to real-time adjust the system noise threshold and suppress the rising of the fake targets.Then it takes advantage of the two-dimensional fitting process to realize the preliminary recognition and estimation of the components.Finally,based on the practical demands of the detection,the adaptive frequency fitting algorithm is used to modify the coefficients of the identified components and locate the targets accurately.Experimental results prove that the proposed new algorithm can effectively eliminate the false targets,improve the system adaptability to different detection environments and precisely identify multiple targets even in frequency ambiguous area.