System and method for 3D imaging using compressive sensing with hyperplane multi-baseline data

Patent metadata

Field	Value
Publication number	US-9971031-B2
Application number	US-201514603460-A
Country	US
Kind code	B2
Filing date	Jan 23, 2015
Priority date	Jan 23, 2015
Publication date	May 15, 2018
Grant date	May 15, 2018

Abstract

A method and system generates a three-dimensional (3D) image by first acquiring data from a scene using multiple parallel baselines and multiple different pulse repetition frequencies (PRF), wherein the multiple baselines are arranged in a hyperplane. Then, a 3D compressive sensing reconstruction procedure is applied to the data to generate the 3D image corresponding to the scene.

First claim

We claim:

1. A method for generating a three-dimensional (3D) image, wherein the image is a virtual array image, comprising steps of:
acquiring data from reflectors in a scene using multiple parallel baselines, wherein the multiple parallel baselines are determined by antenna array platforms passing over the scene and multiple different pulse repetition frequencies (PRF), wherein two-dimensional coordinates of the multiple baselines are arranged in a hyperplane; and
applying a 3D compressive sensing reconstruction procedure to the data to generate the 3D virtual array image corresponding to the scene.

2. The method of claim 1 , wherein the data are sampled uniformly for each baseline.

3. The method of claim 1 , wherein the baselines are predetermined to be parallel to each other.

4. The method of claim 1 , wherein each baseline includes multiple antenna elements, and spatial locations of antenna elements are subject to jitter.

5. The method of claim 1 , wherein the PRF of each baseline is independent to each other PRF.

6. The method of claim 1 , wherein the data are collected from multiple antenna virtual array systems.

7. The method of claim 1 , wherein a spatial distribution of the multiple baseline is random.

8. The method of claim 1 , wherein an elevation aperture is larger than a single virtual array orbit tube.

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

10. The method of claim 1 , wherein the elevation resolution is higher than a predetermined 3D virtual array system.

11. The method of claim 1 , wherein the total number of baselines is fewer than a predetermined 3D virtual array system.

12. The method of claim 1 , wherein locations of the baselines are randomly distributed on an arc of a circle centered at a scene center.

13. The method of claim 1 , wherein each baseline is randomly distributed in the hyperplane with different range and elevation coordinates.

14. The method of claim 1 , wherein coordinates of the baselines are (u,w) in a range-azimuth-elevation space, and the coordinates of reflectors in the scene are (x,y,z) are parallel to azimuth axis.

15. A system for generating a three-dimensional (3D) image, wherein the image is a virtual array image, comprising:
multiple parallel baselines determined by antenna array platforms passing over the scene in a hyperplane, wherein data are acquired according to the baselines from reflectors in a scene using and multiple different pulse repetition frequencies (PRF); and
a processor connected to a memory storing the data of the baselines configured to apply a 3D compressive sensing reconstruction procedure to the data to generate the 3D virtual array image corresponding to the scene.

Assignees

• Mitsubishi Electric Res Laboratories Inc

Inventors

• Liu Dehong
• Boufounos Petros

Classifications

• G01S13/904 Primary

  SAR modes · CPC title

• G01S13/9035 Primary

  Physics · mapped topic