Passive radar detection and imaging using low-rank matrix recovery

Research Projects

Organizational Units

Journal Issue

Alternative Title

Abstract

We then use non-convex optimization methods to reduce computational complexity and enforce the rank-one structure directly. We derive a descent algorithm using the majorization-minimization framework and prove convergence to an optimal solution when the step-size satisfies an easily computable bound.

Description

May 2017
School of Engineering

Full Citation

Publisher

Rensselaer Polytechnic Institute, Troy, NY

Terms of Use

Journal

Volume

Issue

PubMed ID

DOI

ISSN

EISSN

Endorsement

Review

Supplemented By

Referenced By