Simulation of Quantum Radar Cross Section for Electrically Large Targets With GPU

Abstract

As an extension of traditional radar, quantum radar has the advantages of enhancing detection capability and improving resolution, which has attracted enormous attentions. However, the researches on the scattering characteristics of quantum radar are limited to two-dimensional targets, impeding the practical applications of quantum radar. In this paper, the universal expression of quantum radar cross section (QRCS) for three-dimensional targets is introduced. We have demonstrated the achievement of largescale computing of QRCS by using GPU accelerating technique. And QRCSs of typical two-and threedimensional targets are compared with previous work to verify the accuracy, and the improved efficiency of acceleration method is indicated simultaneously. Ultimately, the QRCS of a typical electrically large and complex target, B2 aircraft, is simulated unprecedentedly. The proposed method is convinced to be an efficient tool for analyzing quantum radar scattering properties of electrically large structures.

Analysis of Quantum Radar Cross-Section by Canonical Quantization Method (Full Quantum Theory)

“…Since the aim is to verify the new approach by comparing it with the simulated and published results [5], [12], and [13], for this reason, a simple geometric shape is selected. There are some numerical and theoretical modeling of RCS for a metal square plate [5], [13], [21]. The simulated result in Fig.…”

“…Our purpose is to utilize MoM with the current density operator to compute the scattering field and the related RCS. It is shown that using the current density operator [7], [18] in QMoM gives us some degree of freedom ignored in the classical picture, CRCS, in which the average of the current density has been employed [5]. We want to show by QMoM that using dipole approximation to calculate RCS is not a complete method.…”

“…The mentioned methods utilize the classical picture to calculate RCS and are known as classical RCS (CRCS). The classical theory defines the RCS based on the induced current on the target to generate the scattering electromagnetic fields [4], [5]. RCS is the ability of the target to backscatter the intercepted radar signal and fundamentally depends on the projected cross-section, as well as reflectivity and directivity of the target [6].…”

“…QRCS describes the interaction between the intercepted photons' field and atoms of the target through the dipole approximation method [9], [10]. Moreover, it should be noted that in QRCS, the diffraction and absorption effect is usually ignored [5] through which the calculation accuracy can be decreased. Previous studies discussed why QRCS enhances sidelobes over CRCS [12], [13].…”

“…The origin of the term cos 2 (θ) in the CRCS equation comes from the decomposition of the induced current density on the target. The results simulated in [5], [12], [13] shows that QRCS improves the RCS in the sidelobe. Nonetheless, one can claim that QRCS may be an incomplete method because it uses an approximation based method to calculate RCS.…”