Remote detection and measurement of objects

• US 9,746,552 B2
• Filed: 10/02/2015
• Issued: 08/29/2017
• Est. Priority Date: 03/18/2008
• Status: Active Grant

• Current Assignee: Radio Physics Solutions Ltd.
• Original Assignee: Radio Physics Solutions Ltd.
• Inventors: Bowring, Nicholas, Andrews, David, Rezgui, Nacer Ddine, Harmer, Stuart
• Primary Examiner(s): Porta, David
• Assistant Examiner(s): BOOSALIS, FANI POLYZOS
• Application Number:
  US14/873,807
• Publication Number:
  US 20160097852A1
• Time in Patent Office: 697 Days
• CPC Class Codes: G01S 13/04 Systems determining presence of a target based on relative movement of target G01S13/56
• CPC Class Codes: G01S 13/08 Systems for measuring distance only indirect measurement G01S13/46
• CPC Class Codes: G01S 13/887 for detection of concealed objects, e.g. contraband or weapons
• CPC Class Codes: G01S 7/024 using polarisation effects in waveguides H01P1/165; for aerials H01Q, e.g. H01Q15/22, H01Q15/24, H01Q19/195
• CPC Class Codes: G01S 7/411 Identification of targets based on measurements of radar reflectivity G01S7/415 takes precedence
• CPC Class Codes: G01S 7/417 involving the use of neural networks

Abstract

Provided are methods of using electromagnetic waves for detecting metal and/or dielectric objects. Methods include directing microwave and/or mm wave radiation in a predetermined direction using a transmission apparatus, including a transmission element; receiving radiation from an entity resulting from the transmitted radiation using a detection apparatus; and generating one or more detection signals in the frequency domain using the detection apparatus. Methods may include operating a controller, wherein operating the controller includes causing the transmitted radiation to be swept over a predetermined range of frequencies, performing a transform operation on the detection signal(s) to generate one or more transformed signals in the time domain, and determining, from one or more features of the transformed signal, one or more dimensions of a metallic or dielectric object upon which the transmitted radiation is incident. A system and method for remote detection and/or identification of a metallic threat object using late time response (LTR) signals is also disclosed.

Claims

1. An apparatus comprising:

a transmitter configured to transmit at least one of microwave and millimeter wave radiation varied over a range of frequencies;

a detector configured to receive radiation resulting from the transmitted radiation to enable production of a frequency-dependent detection signal; and

a controller configured to detect an object upon which the transmitted radiation is incident based at least on an oscillatory term in the detection signal indicative of a dimension of the object.

2. An apparatus according to claim 1, wherein the controller is configured to determine the oscillatory term by at least performing spectral analysis of the detection signal.

3. An apparatus according to claim 2, where the controller is configured to determine the oscillatory term by determining a position of a feature in a transformed signal obtained by at least performing a Fourier-type transform of the detection signal.

4. An apparatus according to claim 3, wherein the controller is configured to reduce an amount of data to be processed by at least disregarding a part of the transformed signal corresponding to dimensions outside a range of interest.

5. An apparatus according to claim 1, further comprising a range finder and wherein the controller is configured to use a range of the object as a normalization factor when detecting the object.

6. An apparatus according to claim 1, wherein the controller is configured to detect the object based on a plurality of oscillatory terms in the detection signal indicative of a plurality of dimensions of the object, respectively.

7. An apparatus according to claim 1, wherein the controller is configured to determine that the object is of a predetermined type based on data indicative of a set of dimensions associated with the predetermined type of object.

8. An apparatus according to claim 1, wherein the controller is configured to detect the object using a neural network, wherein data indicative of at least the dimension of the object is provided to the neural network.

9. An apparatus according to claim 1, wherein:

the transmitter is configured to repeatedly transmit the radiation; and

the controller is configured to detect the object using a plurality of frequency-dependent detection signals.

10. An apparatus according to claim 1, wherein:

the detector comprises a first detector configured to detect radiation with a first polarization state and a second detector configured to detect radiation with a second, different polarization state; and

the controller is configured to detect the object using at least a first detection signal associated with the first polarization state and a second detection signal associated with the second polarization state.

11. An apparatus according to claim 1, wherein the detector is configured to use direct detection without phase detection to produce the frequency-dependent detection signal.

12. An apparatus according to claim 1, wherein the controller is configured to detect the object based at least on an oscillatory term in the detection signal indicative of a dimension of the object with a resolution of 5-10 mm or higher.

13. A method comprising:

transmitting at least one of microwave and millimeter wave radiation varied over a range of frequencies;

receiving radiation resulting from the transmitted radiation to enable production of a frequency-dependent detection signal; and

detecting an object upon which the transmitted radiation is incident based at least on determining an oscillatory term in the detection signal indicative of a dimension of the object.

14. A method according to claim 13, further comprising detecting the object based at least on an oscillatory term in the detection signal indicative of a dimension of the object with a resolution of 5-10 mm or higher.

15. A method according to claim 13, further comprising using direct detection without phase detection to produce the frequency-dependent detection signal.

16. A method according to claim 13, wherein determining the oscillatory term comprises performing spectral analysis of the detection signal.

17. A method according to claim 16, wherein determining the oscillatory term further comprises determining a position of a feature in a transformed signal obtained by at least performing a Fourier-type transform of the detection signal.

18. A method according to claim 17, further comprising reducing an amount of data to be processed by at least disregarding a part of the transformed signal corresponding to dimensions outside a range of interest.

19. A method according to claim 13, further comprising finding a range of the object and using the range as a normalization factor when detecting the object.

20. A method according to claim 13, further comprising detecting the object based on a plurality of oscillatory terms in the detection signal indicative of a plurality of dimensions of the object, respectively.

21. A method according to claim 13, further comprising determining that the object is of a predetermined type based on data indicative of a set of dimensions associated with the predetermined type of object.

22. A method according to claim 13, further comprising detecting the object using a neural network, wherein data indicative of at least the dimension of the object is provided to the neural network.

23. A method according to claim 13, further comprising:

repeatedly transmitting the radiation; and

detecting the object using a plurality of frequency-dependent detection signals.

24. A method according to claim 13, further comprising:

detecting radiation with a first polarization state;

detecting radiation with a second, different polarization state; and

detecting the object using at least a first detection signal associated with the first polarization state and a second detection signal associated with the second polarization state.