System and Method for 3D SAR Imaging using Compressive Sensing with Multi-Platform, Multi-Baseline and Multi-PRF Data

• US 20150253423A1
• Filed: 03/10/2014
• Published: 09/10/2015
• Est. Priority Date: 03/10/2014
• 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, Boufounos, Petros T.
• Granted Patent: US 9,864,054 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G01S 13/22 using irregular pulse repetition frequency G01S13/12 takes precedence
• CPC Class Codes: G01S 13/42 Simultaneous measurement of distance and other co-ordinates indirect measurement G01S13/46
• CPC Class Codes: G01S 13/904 SAR modes
• CPC Class Codes: H03M 7/3062 Compressive sampling or sensing

Abstract

A method generates a 3D synthetic aperture radar (SAR) image of an area by first acquiring multiple data sets from the area using one or more SAR systems, wherein each SAR system has one or more parallel baselines and multiple pulse repetition frequency (PRF), wherein the PRF for each baseline is different. The data sets are registered and aligned to produce aligned data sets. Then, a 3D compressive sensing reconstruction procedure is applied to the aligned data sets to generate the 3D image corresponding to the area.

Claims

1-1. The method of claim 1, wherein the data sets are sampled uniformly at each baseline.

10. system for generating a 3D image of an area wherein the 3D image is a synthetic aperture radar (SAR) image, comprising:

one or more SAR systems configured to acquire multiple data sets from the area using, wherein each SAR system has one or more parallel baselines and multiple pulse repetition frequency (PRF), wherein the PRF for each baseline is different; and

a processor configured to register and align the data sets to produce aligned data sets, apply a 3D compressive sensing reconstruction procedure to the aligned data sets to generate the 3D image corresponding to the area.