Fully polarimetric golay complementary code ground penetrating radar for subsurface target classification and identification

This paper proposes a method for rapid and accurate identification of subsurface targets by combining fully polarimetric golay complementary code ground-penetrating radar (GPR) with H-Alpha polarization decomposition technology. The method employs golay complementary code signals with zero sidelobe characteristics as the detection signal to enhance the system's signal-to-noise ratio (SNR). It adopts a fully polarimetric detection mode to obtain richer target information compared to single-polarization detection methods. The collected fully polarimetric radar data undergoes H-Alpha polarization decomposition, ultimately enabling the classification and identification of different targets. Simulation results demonstrate that this method can effectively identify subsurface targets with different polarimetric properties. Furthermore, the impact of the presence of other targets in multi-target scenarios on target classification and identification is investigated. The results show that when subsurface targets with the same polarimetric properties are present, the classification results are not affected. However, when targets with different polarimetric properties are present, the classification results of the targets on the classification template may shift due to the influence of the other target's polarimetric properties. Despite this, the data points of targets with different properties remain primarily concentrated in the designated regions, allowing for successful target identification.