Inverse synthetic aperture radar imaging of maneuvering target with distributed high resolution radars

Tong Liu; Jin Li; Yiming Pi; Xu Yang

doi:10.1117/1.JRS.12.025009

11 May 2018 Inverse synthetic aperture radar imaging of maneuvering target with distributed high resolution radars

Tong Liu, Jin Li, Yiming Pi, Xu Yang

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 12, Issue 2, 025009 (May 2018). https://doi.org/10.1117/1.JRS.12.025009

Abstract

The high-resolution inverse synthetic aperture radar (ISAR) imaging of the maneuvering target with small-angle measurements is expected, which can be achieved by using the radar operating at a higher central frequency. However, because the defocus induced by the spatially variant phase error becomes significant with the resolution improvement and the central frequency increasing, the global phase correction is invalid. Moreover, due to the scattering characteristics of aspect-dependent scatterers and small-angle measurements, we can rarely obtain the rough outline of the maneuvering target. To deal with these difficulties, we propose an ISAR imaging method for the maneuvering target with distributed high resolution radars. To mitigate the spatially variant phase error, we correct phase errors in patches based on the weighted least-squares algorithm, which makes the image well-focused. Then, the ISAR imaging method with distributed radars is presented to obtain the fusion image, with the object to capture enough scatterers to represent the maneuvering target. The fusion image could provide more details. Real data have verified the effectiveness of the proposed method.

Citation Download Citation

Tong Liu, Jin Li, Yiming Pi, and Xu Yang "Inverse synthetic aperture radar imaging of maneuvering target with distributed high resolution radars," Journal of Applied Remote Sensing 12(2), 025009 (11 May 2018). https://doi.org/10.1117/1.JRS.12.025009

Received: 15 February 2018; Accepted: 18 April 2018; Published: 11 May 2018

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available