基于OI-AGCD的含旋转部件目标ISAR成像

旋转部件(如直升机的螺旋桨)严重影响逆合成孔径雷达(inverse synthetic aperture radar, ISAR)的成像特性,基于优化初值选择的自适应高斯包络线性调频基分解(optimized initial-adaptive Gaussian chirplet decomposition,OI-AGCD)设计了一种自适应旋转部件回波分离算法。建立了含旋转部件目标步进频率雷达ISAR成像模型,分析了旋转部件与目标主体回波特性差别。基于距离多普勒成像理论、主体和旋转部件回波在高斯基上投影的差异,设计了基于OI-AGCD的旋转部件回波分离算法。仿真数据验证结果表明了该算法去除旋转部件回波的可行性,含旋转部件类目标ISAR成像质量得到了有效提高。

ISAR imaging of targets with rotating parts based on OI-AGCD

Echoes produced by rotating parts, such as propellers of helicopters, seriously worsen inverse synthesizer aperture radar (ISAR)imaging quality. An algorithm based on optimized initial adaptive Gaussian chirplet decomposition (OI-AGCD) is proposed. Firstly, the ISAR imaging model which involves the target with rotating parts, based on stepped frequency radar, is established. The different performances between the main body and the rotating parts are analized.Secondly, based on range-Doppler imaging theroy and the different projection properties of main body and roating parts on Gaussian bases, the algorithm of cleaning rotating parts’ radar echoes based on AGCD is proposed. Finally, simulation results show the effectiveness of the algorithm to eliminate echoes produced by rotating parts and high quality images can be achieved.