The quantum radar cross section (QRCS) is a measure of the ability of a quantum radar to detect an object. Clearly, it is particularly essential for the study of invisible weapon platforms. In our work, we have displayed the computation of QRCS and classical radar cross section (CRCS) for the 2D cardioid target. Finally, we discuss the sidelobe quantum impact between CRCS and QRCS.
The quantum radar cross section (QRCS) is a measure of the ability of a quantum radar to detect an object. Clearly, it is particularly essential for the study of invisible weapon platforms. In our work, we have displayed the computation of QRCS and classical radar cross section (CRCS) for the 2D cardioid target. Finally, we discuss the sidelobe quantum impact between CRCS and QRCS.
Quantum radar offers the prospect of detecting, identifying, and resolving RF stealth platforms and weapons systems, but the corresponding quantum radar cross section (QRCS) simulation is restricted-almost all existing methods can only be used for the two-dimensional (2-D) targets, not the 3-D targets even for convex targets. We propose a novel method that can deal with the calculation of the orthogonal projected area (A⊥) of the target in each incidence, which is the key part of QRCS simulation for the arbitrary 3-D convex target. To the best of our knowledge, this has not been reported before. In this paper, we introduce a three-step computation process of (A⊥), and verified the method for typical 2-D targets. Finally, we show some results for typical 3-D convex targets and compared the QRCS with classical radar cross section (CRCS). Meanwhile, we analyze the superposition of quantum effect of side lobes for 3-D convex targets. The proposed method provides a key improvement for realizing the universalization and utilization of QRCS calculation.
The quantum radar cross section (QRCS) describes how much return one gets when illuminating an object with a handful of photons. However, the previous studies mainly focused on the monostatic scattering of quantum radar. In this study, in response to the four key questions raised by ourselves in bistatic quantum radar cross section (BIQRCS), we calculate and analyze the BIQRCS for the typical tow-dimensional plate. First, as mentioned by Brandsema, the further derived analytical solution for the rectangular plate is obtained. In addition, the influence of incident frequency and the number of photons on the BIQRCS for the plate were obtained. Besides, we first reveal that the envelope curves of sidelobes in BIQRCS at the given incidence display the invariance in frequency. Finally, we show some comparison results among the BIQRCS, classical radar cross section (CRCS), and monostatic QRCS for the plate and find the advantage of sidelobe of the BIQRCS in given direction. We anticipate that these research results will find use in the detection and discrimination of stealthy platforms.
Quantum radar is a new detection technology based on the mechanism of quantum physics and is promising for enhancing radar target detection capability. In this letter, the quantum radar equation is established based on the traditional radar equation; meanwhile, how the quantum radar cross section (QRCS) influences target detection performance and how QRCSs for some typical targets distribute are investigated via simulations. Simulation results demonstrate that the signal-to-noise ratio increases with the QRCS, the peak values of side-lobes of the QRCS for the cylinder surface fluctuate little, and the QRCS for corner reflectors almost exhibits no variations in a wide range of incident angles. The results listed above can benefit the signal design and performance evaluation of quantum radar as well as the design of quantum stealthy targets.
In radar, the amount of returns that an object sends back to the receiver after
being struck by an electromagnetic wave is characterized by what is known as the
radar cross section, denoted by � typically. There are many mechanisms that affect
how much radiation is reflected back in the receiver direction, such as reflectivity,
physical contours and dimensions, attenuation properties of the materials, projected
cross sectional area and so on. All of these characteristics are lumped together in a
single value of �, which has units of m2. Stealth aircrafts for example are designed
to minimize its radar cross section and return the smallest amount of radiation
possible in the receiver direction.
A new concept has been introduced called quantum radar, that uses correlated
quantum states of photons as well as the unique properties of quantum mechanics
to ascertain information on a target at a distance. At the time of writing this
dissertation, quantum radar is very much in its infancy. There still exist fundamental
questions about the feasibility of its implementation, especially in the microwave
spectrum. However, what has been theoretically determined, is that quantum radar
has a fundamental advantage over classical radar in terms of resolution and returns
in certain regimes.
Analogous to the classical radar cross section (CRCS), the concept of the
quantum radar cross section (QRCS) has been introduced. This quantity measures
how “large” an object looks to a quantum radar be describing how a single photon, or
small cluster of photons scatter off of a macroscopic target. Preliminary simulations
of the basic quantum radar cross section equation have yielded promising results
showing an advantage in sidelobe response in comparison to the classical RCS. This
document expands upon this idea by providing insight as to where this advantage expanding upon the theory.
The expanded theory presented in this document includes re-deriving the QRCS
formula to be a general bistatic formula, as the current equation is only valid for
monostatic radar geometries. This re-derivation process also leads to the addition of
terms that capture the effect of photon polarization, something that is not properly
taken into account in the current literature. Most importantly, a new formulation
of the QRCS formula will be derived that includes writing the equation in terms
of Fourier transforms. This has a profound impact on the analysis of the theory
of the QRCS as it allows for the derivation of closed form solutions of certain
geometries, something that has never been possible due to the form of the current
QRCS equation. All together, this document will provide a complete and general
theory of the QRCS.
After deriving the necessary equations, there will be extensive work in the
utilization of these equations in deriving geometry dependent responses and comparing
the closed form solutions to the classical solutions as well as comparing the
solutions to the numerical simulations.
The current literature relies exclusively on numerical simulations…
With the development of quantum radar technology, the study of quantum radar scattering characteristic has gradually become a new academic and engineering hotspot. Quantum radar cross section (QRCS) is an important parameter of quantum radar scattering characteristic which describes the visibility of the target illuminated by a handful of photons. However, the current study is still limited to 2D objects. We first developed a new calculation method that can solve the simulation of quantum radar scattering for 3D circular cone targets. Then, the method has been verified the for a typical 2D circular plate. Finally, we presented the QRCS results of a 3D circular cone and compared them with the classical radar cross section.
Quantum radar cross section (QRCS) is studied in this paper, which has an objective measure of the quantum scattering ability of a specified target. The interaction process between quantum radar and the target is introduced, and new results about quantum scattering characteristics of typical targets are reported. Simulation results demonstrate that the number of side lobes of QRCS is dependent on the target size and the interatomic distance; values of QRCS increase with the increasing of the signal photon frequency. For the cylinder target, QRCS increased as the radius increases. The work and results can be beneficial to the design of quantum radar system as well as the development of remote sensing of earth observation.