System, device and method for imaging of objects using signal clustering

• US 10,436,896 B2
• Filed: 11/29/2016
• Issued: 10/08/2019
• Est. Priority Date: 11/29/2015
• Status: Active Grant

• Current Assignee: Vayyar Imaging Ltd.
• Original Assignee: Vayyar Imaging Ltd.
• Inventors: Lomnitz, Yuval Shamuel
• Primary Examiner(s): Barker, Matthew M
• Application Number:
  US15/363,716
• Publication Number:
  US 20170153324A1
• Time in Patent Office: 1,043 Days
• CPC Class Codes: G01S 13/888 through wall detection
• CPC Class Codes: G01S 13/89 for mapping or imaging
• CPC Class Codes: G06F 18/2135 based on approximation criteria, e.g. principal component analysis
• CPC Class Codes: H04B 17/12 of transmit antennas, e.g. of the amplitude or phase

Abstract

There is provided methods and device for imaging objects comprising unsupervised classifying and data analyzing of the object to detect and identify the structure of the object and further display the object'"'"'s structure/underlying structure, for example the arrangement of and relations between the parts or elements of the object by using a location module configured to record the physical location of an antenna array.

Claims

1. A device for imaging an object, the object comprises a plurality of parts, the device comprising:

an antenna array comprising a plurality of antennas;

a measurement unit configured to transmit signals to the antenna array, to receive signals from the antenna array and to transmit signals to a processor; and

the processor, in communication with said measurement unit, to receive signals transmitted from the measurement unit, said processor is configured to;

center the received signals by removing the signal mean of the received signals;

normalize the centered signals;

arrange the normalized signals as vectors of data points per location;

process the vectors of data points per location to obtain discrimination information differentiating between different types of materials, wherein said processing comprises;

applying Principal Component Analysis (PCA) to the vectors of data points per location to obtain PCA coefficients, and translating three largest PCA coefficients of said PCA coefficients to image colors to obtain said discrimination information differentiating between different types of materials; and

display an image of the object, said image comprising said discrimination information, and wherein each discrimination information relates to a point matching a physical location.

2. The device of claim 1, wherein said measurement unit is configured to perform a reflective measurement by either a frequency sweep or a time pulse.

3. The device of claim 1, wherein said measurement unit is configured to extract phase and amplitude of the received signals.

4. The device of claim 1, further comprising a location module said location module is configured to record the physical location of the antenna array and wherein the signals are measured by sliding the antenna array along a surface of the object, and wherein each of the received signals is tagged with the physical location at which it was measured.

5. The device of claim 4, wherein the processor is configured to provide an average of said tagged signals.

6. The device of claim 5, wherein said average is the signal average power in a specific time range or in a specific mean delay.

7. The device of claim 1, wherein said measurement unit comprises at least one transceiver, a signal generation and reception unit and an extraction unit.