基于深度神经网络的雷达距离超分辨方法

覃承进,蒋俊正

Radar range super-resolution method based on deep neural network

Cheng-jin QIN,Jun-zheng JIANG

表 4 仿真数据3和仿真数据4的距离像在不同外推长度下的误差

Tab.4 Error of range profile of simulation data 3 and simulation data 4 under different extrapolation lengths

算法 ${{\rm{MAE}}_{\rm{S3} }}, {{\rm{RMSE}}_{\rm{S3} } }$ ${{\rm{MAE}}_{\rm{S4} }}, {{\rm{RMSE}}_{\rm{S4} }}$ $ \alpha = 2 $ $ \alpha = 3 $ $ \alpha = 4 $ $ \alpha = 2 $ $ \alpha = 3 $ $ \alpha = 4 $ AR模型 0.2142, 0.2733 0.2305, 0.2802 0.2849, 0.3410 0.1459, 0.1749 0.2203, 0.3063 0.2272, 0.3177 EDFT 0.2697, 0.3562 0.2483, 0.3312 0.2298, 0.3192 0.1544, 0.2024 0.2067, 0.2838 0.2172, 0.3069 Fast-MUSIC 0.2897, 0.3491 0.2877, 0.3512 0.2379, 0.3487 0.2782, 0.3642 0.2862, 0.3682 0.2901, 0.3805 本文方法 0.2693, 0.3357 0.1719, 0.2598 0.1482, 0.2225 0.1314, 0.1617 0.1651, 0.2295 0.1928, 0.2589