A method and system for analyzing the RCS of an object using N Point signature prediction models is provided. N-point signature prediction models are created for each object in a scenario and stored in lookup tables. Shooting and Bounce trace back techniques are used to determine RCS signatures of multiple objects in modeled scenarios to account for blockage by and coupling phenomena of a scattered field.

Rcs signature generation for closely spaced multiple objects using n-point models

In one aspect, a system to generate a radar signature of an object includes electromagnetic processing modules that include a first module including at least one processing unit to perform a shooting and bouncing (SBR) technique to solve for physical optics and multi-bounce characteristics of the object, a second module including a processing unit to perform a physical theory (PTD) technique to solve for material edges of the object and a third module including a processing unit to perform an incremental length diffraction coefficient (ILDC) to solve for material boss/channel. Results from the first, second and third modules are coherently integrated by frequency to generate radar cross section (RCS) values of the object in real-time. Performance of the system is scalable by adding processing units to at least one of the first, second or third modules.

Parallel processing to generate radar signatures for multiple objects

Apparatus and method for real-time determination of radar cross sections is disclosed using interleaved gridding. Radar cross section calculations are amenable to an implementation on parallel processors wherein the shooting window is subdivided into smaller areal units that are assigned to the parallel processors in an alternating fashion, such that the calculations performed by a single processor are not localized to a single area of the shooting window. As further disclosed, the shooting and bouncing ray technique for calculating radar cross sections is implemented using the apparatus and method disclosed herein.

Method and apparatus for interleaved gridding in distributed multiple computing for real-time rcs prediction

In one aspect, a system to generate radar signatures for multiple objects in real-time includes a first module including at least one processor to perform a shooting and bouncing (SBR) technique to solve for physical optics and multi-bounce characteristics of the objects. The at least one processor includes a central processing unit to perform dynamic ray tracing and a graphics processing unit (GPU) to perform far field calculations. The GPU includes a hit point database to store entries associated with rays that intersect an object.

Electromagnetic (EM) solver using a shooting bouncing ray (SBR) technique

In one aspect, a method to generate radar cross section (RCS) signatures, includes determining a spectrum of an object and using the spectrum of the object to generate RCS signatures of a plurality of objects. In another aspect, an apparatus to generate radar cross section (RCS) signatures includes circuitry to determine a spectrum of an object; and use the spectrum of the object to generate RCS signatures of a plurality of objects. In a further aspect, an article includes a machine-readable medium that stores executable instructions to generate radar cross section signatures (RCS). The executable instructions cause a machine to determine a spectrum of an object and use the spectrum of the object to generate RCS signatures of a plurality of objects.

Generating radar cross-section signatures

This paper is based on the design and development of an electromagnetic simulation package used for predicting the radar cross section (RCS) of partially open cavities. In the RCS analysis of objects such as aircrafts or ships, the cavity structures (such as air-vents and jet outlets) play a major role to the contribution of the reflected radar. Thus cavities can be seen as having a certain stealthiness-coefficient to them. By manipulating their physical shape one can reduce the amount of RCS backscatter reflected. The simulation process applies the shooting-and-bouncing-ray (SBR) method in conjunction with electromagnetic field theory. A vector effective height (VEH), of the antenna used, is introduced to take into account the polarization coupling effects resulting from each reflection within the cavity. The final gain of the power received can be determined by the incoherent summation of all the contributing rays. To verify the validity of the simulation, a comparison is made to the RCS scan of a rectangular cavity. The results show a close correlation between the simulated and measured environments. Furthermore, an illustration of RCS optimization is shown by modifying the rectangular cavities dimensions and comparing the two results.

Radar simulation using the shooting and bouncing ray technique

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Radar simulation using the shooting and bouncing ray technique