基于变周期梯形毫米波二维配对多目标检测算法

毫米波FMCW雷达体积小、工作频带宽、分辨率高且抗干扰性能强,基于毫米波雷达的多目标检测算法是目前研究热点。但现有的基于FMCW的雷达多目标检测算法存在大量虚警、漏检的问题。文中研究了梯形调频连续波的发射波形并分析了典型的梯形多目标匹配算法,在此基础上结合频域-二维配对法对发射波形及多目标算法加以改进,提出了改进变周期梯形波及多目标检测算法,提高了多目标识别的准确度。

Two-Dimensional Pairing Multi-Target Detection Algorithm Based on Variable Periodic Trapezoidal Millimeter Wave

The millimeter-wave FMCW radar has small volume, wide operation frequency band, high resolution and strong anti-interference performance. The multi-target detection algorithm based on millimeter wave radar is a hot research topic. However, the existing FMCW-based radar multi-target detection algorithm has a large number of false alarms and missed detection problems. In this thesis, the emission waveform of trapezoidal frequency modulated continuous wave is studied and the typical trapezoidal multi-target matching algorithm is analyzed. Based on this, the frequency domain two-dimensional pairing method is combined to improve the transmitted waveform and multi-objective algorithm, and an improved variable period is proposed. The trapezoidal wave and multi-target detection algorithm improves the accuracy of multi-target recognition.