A Data-Driven Polarimetric Calibration Method for Entomological Radar

Abstract

Polarization information can greatly improve the ability of detection, parameter retrieval and classification for entomological radar. In recent, the instantaneous fully polarimetric measurement technique is used in entomological radar, so as to relax restriction of invariant orientation during observation compared to the typical vertical-looking radar with linear-polarized rotation configuration. However, the fully polarimetric measurement is based on a multi-channels radar system, and the imbalance and cross-talk between channels, namely polarimetric errors, will severely affect the measurement of the polarimetric scattering matrix (PSM). So, polarimetric calibration is essential to obtain the accurate polarization information of targets. In contrast to inefficient and manual calibration methods, a data-driven polarimetric calibration method is proposed based on the assumption of reciprocity and bilateral symmetry of insects in this paper. The polarimetric errors are elaborately decomposed into two components which could be estimated by reciprocity and bilateral symmetry, respectively. In addition, because the proposed method is data-driven, the calibration process could be automatically executed to compensate the temporal-variant polarimetric errors induced by temperature change, and thus suitable for long-term operation of entomological radar. Simulations and experiments are carried out to evaluate the performance of the proposed calibration method. Results show that it could achieve high accuracy when the number of insects used as calibrators is large enough. The proposed method has been applied in Ku-band high-resolution fully polarimetric entomological radars for cross-border migratory insect observation in Yunnan province, China.