Frequency dependent radar cross section model for real-time radar simulation in a dynamic environment

US11313949B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-11313949-B2
Application numberUS-201916511973-A
CountryUS
Kind codeB2
Filing dateJul 15, 2019
Priority dateJul 15, 2019
Publication dateApr 26, 2022
Grant dateApr 26, 2022

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  5. First independent claim

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Abstract

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A method for building a coherent radar cross-section (RCS) model database for real-time dynamic simulation of range-Doppler radars is disclosed. The database may be used with radar sensors that employ different waveforms. A pre-processing operation before the dynamic simulation performs fast Fourier Transforms (FFTs) to interpolate the target frequency responses from the database to match the frequency samplings of the radar used in the dynamic simulation. The method determines the frequency responses of the targets to a reference chirp in a coherent processing interval (CPI) and the radial velocities of the targets relative to the radar at the time of the reference chirp. The method extrapolates, using FFTs, the frequency responses of the targets to the reference chirp across the velocity dimension based on the relative radial velocities to determine the frequency responses of the targets to the other chirps across the CPI, reducing the computational burden for the simulation.

First claim

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What is claimed is: 1. A method for a real-time radar simulation, comprising: receiving a coherent radar cross-section (RCS) model for a target, the coherent RCS model including frequency responses applicable to a plurality of radars; interpolating the frequency responses of the coherent RCS model to obtain an updated coherent RCS model for the target, the updated coherent RCS model matching a frequency sampling of a radar, wherein the frequency sampling comprises a frequency at which the radar samples a response of the target to the radar; computing a frequency response of the target to a reference chirp within a coherent processing interval (CPI) of the radar according to the updated coherent RCS model, wherein the CPI comprises a plurality of periodic chirps each having a chirp duration; computing a radial velocity of the target relative to the radar, wherein the radial velocity comprises a time rate of change in a round-trip path length from a transmit antenna of the radar to the target to a receive antenna of the radar; extrapolating the frequency response of the target to the reference chirp based on the radial velocity of the target to determine a plurality of frequency responses of the target to a plurality of chirps of the radar within the CPI; and simulating the plurality of frequency responses of the target in real-time to represent an imagery of the target. 2. The method of claim 1 , wherein the interpolating the frequency responses of the coherent RCS model to obtain an updated coherent RCS model for the target comprises interpolating the frequency responses to match the frequency sampling of the radar using a fast Fourier Transform (FFT)-based operation. 3. The method of claim 1 , wherein the computing a frequency response of the target to a reference chirp comprises: updating a position, an orientation, and a velocity of the target at a time corresponding to the reference chirp; updating a position, an orientation, and a velocity of the radar at the time corresponding to the reference chirp; determining characteristics of the radar; and determining the frequency response of the target to the reference chirp based on the position, the orientation, and the velocity of the target corresponding to the reference chirp, the position, the orientation, and the velocity of the radar corresponding to the reference chirp, the characteristics of the radar, and the updated coherent RCS model. 4. The method of claim 1 , wherein the computing a radial velocity of the target relative to the radar comprises computing the radial velocity of the target relative to the radar at a time corresponding to the reference chirp. 5. The method of claim 1 , further comprising: accumulating the frequency response of the target to the reference chirp into one or more velocity bins that correspond to the radial velocity of the target relative to the radar, wherein the frequency response of the target is distributed across a velocity dimension that includes the one or more velocity bins. 6. The method of claim 5 , wherein a resolution of the velocity dimension used to distribute the frequency response of the target is finer relative to a Doppler velocity resolution based on the CPI of the radar. 7. The method of claim 5 , wherein the extrapolating the frequency response of the target to the reference chirp based on the radial velocity of the target to determine a plurality of frequency responses of the target to a plurality of chirps of the radar within the CPI comprises: performing an inverse fast Fourier Transform (IFFT) of the frequency response across the velocity dimension to extrapolate the frequency response of the target forward in time starting from the reference chirp to a plurality of chirps after the reference chirp within the CPI. 8. The method of claim 5 , wherein the extrapolating the frequency response of the target to the reference chirp based on the radial velocity of the target to determine a plurality of frequency responses of the target to a plurality of chirps of the radar within the CPI comprises: performing a fast Fourier Transform (FFT) of the frequency response across the velocity dimension to extrapolate the frequency response of the target backward in time starting from the reference chirp to a plurality of chirps before the reference chirp within the CPI. 9. A system, comprising: a processor; and a memory coupled to the processor to store instructions, which when executed by the processor, cause the processor to perform operations, the operations comprising: receiving a coherent radar cross-section (RCS) model for a target, the coherent RCS model including frequency responses applicable to a plurality of radars; interpolating the frequency responses of the coherent RCS model to obtain an updated coherent RCS model for the target, the updated coherent RCS model matching a frequency sampling of a radar, wherein the frequency sampling comprises a frequency at which the radar samples a response of the target to the radar; computing a frequency response of the target to a reference chirp within a coherent processing interval (CPI) of the radar according to the updated coherent RCS model, wherein the CPI comprises a plurality of periodic chirps each having a chirp duration; computing a radial velocity of the target relative to the radar, wherein the radial velocity comprises a time rate of change in a round-trip path length from a transmit antenna of the radar to the target to a receive antenna of the radar; extrapolating the frequency response of the target to the reference chirp based on the radial velocity of the target to determine a plurality of frequency responses of the target to a plurality of chirps of the radar within the CPI; and simulating the plurality of frequency responses of the target in real-time to represent an imagery of the target. 10. The system of claim 9 , wherein the processor interpolating the frequency responses of the coherent RCS model to obtain an updated coherent RCS model for the target comprises the processor: interpolating the frequency responses to match the frequency sampling of the radar using a fast Fourier Transform (FFT)-based operation. 11. The system of claim 9 , wherein the processor executes the instructions to further perform operations that comprise: accumulating the frequency response of the target to the reference chirp into one or more velocity bins that correspond to the radial velocity of the target relative to the radar, wherein the frequency response of the target is distributed across a velocity dimension that includes the one or more velocity bins. 12. The system of claim 11 , wherein the processor extrapolating the frequency response of the target to the reference chirp based on the radial velocity of the target to determine a plurality of frequency responses of the target to a plurality of chirps of the radar within the CPI comprises the processor: performing an inverse fast Fourier Transform (IFFT) of the frequency response across the velocity dimension to extrapolate the frequency response of the target forward in time starting from the reference chirp to a plurality of chirps after the reference chirp within the CPI. 13. The system of claim 11 , wherein the processor extrapolating the frequency response of the target to the reference chirp based on the radial velocity of the target to determine a plurality of frequency responses of the target to a plurality of chirps of the radar within the CPI comprises the processor: performing a fast Fourier Transform (FFT) of the frequency response across the velocity dimension to extrapolate the frequency response of the target

Assignees

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Classifications

  • by simulation of echoes · CPC title

  • of land vehicles · CPC title

  • Simulation of radar (G09B9/40 takes precedence) · CPC title

  • G01S7/412Primary

    based on a comparison between measured values and known or stored values · CPC title

  • involving the transmission of linearly polarised waves · CPC title

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What does patent US11313949B2 cover?
A method for building a coherent radar cross-section (RCS) model database for real-time dynamic simulation of range-Doppler radars is disclosed. The database may be used with radar sensors that employ different waveforms. A pre-processing operation before the dynamic simulation performs fast Fourier Transforms (FFTs) to interpolate the target frequency responses from the database to match the f…
Who is the assignee on this patent?
Ansys Inc
What technology area does this patent fall under?
Primary CPC classification G01S7/412. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Apr 26 2022 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 1 related publication on this page (citations in our corpus or others sharing the same primary CPC).