System and method for 3D imaging using a moving multiple-input multiple-output (MIMO) linear antenna array

• US 9,948,362 B2
• Filed: 01/12/2015
• Issued: 04/17/2018
• Est. Priority Date: 01/12/2015
• Status: Active Grant

• Current Assignee: Mitsubishi Electric Research Laboratories, Inc. (Mitsubishi Electric Corporation)
• Original Assignee: Mitsubishi Electric Research Laboratories, Inc. (Mitsubishi Electric Corporation)
• Inventors: Liu, Dehong
• Primary Examiner(s): Gregory, Bernarr E
• Application Number:
  US14/594,316
• Publication Number:
  US 20160204840A1
• Time in Patent Office: 1,191 Days
• CPC Class Codes: G01S 13/904 SAR modes
• CPC Class Codes: H04B 7/0413 MIMO systems
• CPC Class Codes: H04B 7/0479 for multi-dimensional arrays, e.g. horizontal or vertical pre-distortion matrix index [PMI]

Abstract

A method generates a three-dimensional (3D) scene image of a scene using a MIMO array including a set of antenna by first selecting a subsets of the antennas as transmit antennas and receive antennas. Radio frequency (RF) signal are transmitted into the scene using the subset of transmit antennas while the MIMO array is moving at a varying velocity. The RF signal are received at the subset of receive antennas as MIMO data, which is aligned and regularized. Then, a compressive sensing (CS)-based reconstruction procedure is applied to the aligned MIMO data to generate the 3D image of the scene.

Claims

1. A method for generating a three-dimensional (3D) image of a scene using a MIMO array including a set of antennas, comprising steps of:

selecting at least one subset of the antennas as a subset of transmit antennas and a subset of receive antennas;

transmitting radio frequency (RF) signal into the scene using the subset of transmit antennas while the MIMO array is moving at a varying velocity;

receiving the RF signal reflected by the scene at the subset of receive antennas as MIMO data;

aligning and regularizing the MIMO data;

applying a compressive sensing (CS)-based reconstruction procedure to the aligned MIMO data to generate the 3D image of the scene.

2. The method of claim 1, wherein the MIMO data are sampled uniformly in time.

3. The method of claim 1, wherein an orientation of the MIMO array is fixed.

4. The method of claim 1, wherein the MIMO array is subject to random jitter in azimuth and elevation directions.

5. The method of claim 1, wherein all data are processed as an entirety by compressive sensing (CS)-based reconstruction procedure.

6. The method of claim 1, wherein the compressive sensing method is an iterative reconstruction method.

7. The method of claim 1, wherein the varying velocity distributes the array spatially and uniformly with random jitters in azimuth and range directions.

8. The method of claim 1, wherein the MIMO array is linear.

9. The method of claim 1, wherein the RF signals transmitted are orthogonal.

10. The method of claim 1, further comprising:

filling in missing data using an iterative procedure by exploiting sparsity of the scene.

11. A system for generating a three-dimensional scene (3D) image of a scene using a MIMO array including a set of antennas, comprising:

a subset of receive antennas configured to receive the RF signal into the scene using while the MIMO array is moving at a varying velocity;

another subset of receive antennas configured to receive the RF signal reflected by the scene as MIMO data;

a processor configured to align and regularize the MIMO data and apply a compressive sensing (CS)-based reconstruction procedure to the aligned MIMO data to generate the 3D image of the scene.