针对组网雷达信号级融合问题,文中提出了一种基于正交离散频率编码信号的组网雷达系统目标检测与定位的方法。通过降低第一检测门限,提高低信噪比目标检测概率,并使用卡方检验及多层检测,剔除第一层检测的假目标。文中首先建立了目标雷达散射截面散射一致性回波模型,分析了组网雷达中目标融合所需的距离-角度估计结果建立流程;然后,使用卡方检验及多雷达信号非相参积累检测剔除虚假目标,利用动态规划思想对多帧信号进行积累,进一步提高目标信噪比,剔除假目标;最后,通过仿真实验验证了本文方法的有效性。

In regards to the signal-level fusion issue in networked radar, a method for target detection and localization in networked radar systems is proposed based on orthogonal discrete frequency coding signals. This is achieved by decreasing the first detection threshold to improve the probability of target detection in low signal-to-noise ratio (SNR) conditions, and by utilizing chi-square testing and multi-layer detection to eliminate false targets in the first layer of detection. First, a target radar cross section scattering consistency echo model is established and the process for establishing distance-angle estimation results required for target fusion in networked radar is analyzed. Chi-square testing and non-coherent accumulation detection of multiple radar signals are used to eliminate false targets, and dynamic programming is used to accumulate multiple frames of signals to further enhance the SNR and eliminate false targets. Finally, simulation experiments are conducted to verify the effectiveness of the proposed method.

TN957.51

国家自然科学基金资助项目;广东省自然科学基金资助项目