Systems, methods, and apparatus for radar-based detection of objects in a predetermined space
US-2015260835-A1 · Sep 17, 2015 · US
US12130376B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12130376-B2 |
| Application number | US-202318694705-A |
| Country | US |
| Kind code | B2 |
| Filing date | Oct 13, 2023 |
| Priority date | Oct 14, 2022 |
| Publication date | Oct 29, 2024 |
| Grant date | Oct 29, 2024 |
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A method comprising: obtaining I/Q data associated with a received radar signal; performing background subtraction on the I/Q data to obtain a subtracted signal; applying an algorithm to the subtracted signal to obtain a filtered signal, wherein the algorithm is based on a MSE filter; performing time-gating on the filtered signal to obtain a time-gated signal; applying a FFT to convert the time-gated signal to a frequency-domain signal; and applying a calibration set to the frequency-domain signal to extract an RCS of an OUT; and a system for conducting the method.
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What is claimed is: 1. A method comprising: obtaining in-phase/quadrature (I/Q) data associated with a received radar signal; performing a background subtraction on the I/Q data to obtain a subtracted signal; applying an algorithm to the subtracted signal to obtain a filtered signal, wherein the algorithm is based on a mean square error (MSE) filter; performing a time-gating process on the filtered signal to obtain a time-gated signal; applying a fast Fourier transform (FFT) to convert the time-gated signal to a frequency-domain signal; applying a calibration set to the frequency-domain signal to extract a radar cross-section (RCS) of an object under test (OUT); delivering the RCS to a user; and manufacturing or modifying an object based on the RCS. 2. The method of claim 1 , wherein the background subtraction reduces or eliminates returns from scatterers other than the OUT. 3. The method of claim 1 , wherein applying the algorithm comprises applying the algorithm until a noise level limits a range profile estimation accuracy. 4. The method of claim 1 , further comprising further obtaining the I/Q data using a stepped-frequency continuous-wave (SFCW) radar, an SFCW waveform, an orthogonal frequency-division multiplexing (OFDM) radar, or an OFDM waveform. 5. The method of claim 4 , wherein obtaining the I/Q data using the SFCW radar comprises obtaining the I/Q data using a vector network analyzer (VNA) operating as the SFCW radar. 6. The method of claim 1 , wherein the MSE filter is a reiterative minimum mean square error (RMMSE) filter or is range dependent, or wherein the MSE filter comprises a cost function that preserves a complex magnitude of a main lobe associated with the OUT. 7. The method of claim 1 , wherein the algorithm uses adaptive pulse compression (APC). 8. The method of claim 1 , wherein applying the MSE filter comprises: obtaining an initial range profile estimate with an inverse fast Fourier transform (IFFT); estimating a noise variance; estimating a power ρ(l); computing a filter w(l); estimating a range profile {circumflex over (x)}(l); and reiterating estimating the power ρ(l), computing the filter w(l), and estimating the range profile {circumflex over (x)}(l) for P iterations. 9. The method of claim 1 , wherein the method is independent of a matched filter. 10. The method of claim 1 , wherein performing the time-gating process comprises: converting the filtered signal to a time-domain signal using an inverse fast Fourier transform (IFFT); and applying a window to the time-domain signal to obtain the time-gate signal, wherein the window filters a range profile to include range bins associated with the OUT and suppress remaining range bins. 11. The method of claim 1 , wherein applying the calibration set comprises subtracting the calibration set from the frequency-domain signal. 12. The method of claim 1 , further comprising displaying the RCS. 13. A method comprising: transmitting a transmitted signal; obtaining in-phase/quadrature (I/Q) data associated with a received radar signal; performing a background subtraction on the I/Q data to obtain a subtracted signal; applying an algorithm to the subtracted signal to obtain a filtered signal, wherein the algorithm is based on a mean square error (MSE) filter; performing a time-gating process on the filtered signal to obtain a time-gated signal; applying a fast Fourier transform (FFT) to convert the time-gated signal to a frequency-domain signal; applying a calibration set to the frequency-domain signal to extract a radar cross-section (RCS) of an object under test (OUT); and delivering the RCS to a user. 14. The method of claim 13 , further comprising receiving the received radar signal in response to the transmitted signal. 15. A system comprising: a memory configured to store instructions; one or more processors coupled to the memory and configured to execute the instructions to cause the system to: obtain in-phase/quadrature (I/Q) data associated with a received radar signal; perform a background subtraction on the I/Q data to obtain a subtracted signal; apply an algorithm to the subtracted signal to obtain a filtered signal, wherein the algorithm is based on a mean square error (MSE) filter; perform a time-gating process on the filtered signal to obtain a time-gated signal; apply a fast Fourier transform (FFT) to convert the time-gated signal to a frequency-domain signal; and apply a calibration set to the frequency-domain signal to extract a radar cross-section (RCS) of an object under test (OUT), wherein the RCS is delivered to a user; and a transceiver configured to: transmit a transmitted signal; and receive the received radar signal in response to the transmitted signal. 16. The system of claim 15 , further comprising a display configured to display the RCS. 17. The system of claim 15 , wherein the background subtraction reduces or eliminates returns from scatterers other than the OUT. 18. The system of claim 15 , wherein the instructions, when executed by the one or more processors, further cause the system to further apply the algorithm until a noise level limits a range profile estimation accuracy. 19. A computer program product comprising instructions that are stored on a non-transitory computer-readable medium and that, when executed by one or more processors, cause a system to: transmit a transmitted signal; obtain in-phase/quadrature (I/Q) data associated with a received radar signal; perform a background subtraction on the I/Q data to obtain a subtracted signal; apply an algorithm to the subtracted signal to obtain a filtered signal, wherein the algorithm is based on a mean square error (MSE) filter; perform a time-gating process on the filtered signal to obtain a time-gated signal; apply a fast Fourier transform (FFT) to convert the time-gated signal to a frequency-domain signal; and apply a calibration set to the frequency-domain signal to extract a radar cross-section (RCS) of an object under test (OUT), wherein the RCS is delivered to a user. 20. The computer program product of claim 19 , wherein the algorithm uses adaptive pulse compression (APC).
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