A Novel Strategy for Radar Imaging Based on Compressive Sensing

By Marivi Tello, Paco López-Dekker, Jordi J. Mallorquí. IEEE International Geoscience and Remote Sensing Symposium, 2008

327 citations recorded by the source corpus.

This paper aims at introducing the recent theory of compressive sensing to radar imaging systems in order to retrieve the imaged scene with better resolution and a reduced amount of collected samples. As a result of the application of the alternative imaging technique proposed, the use of matched filtering is avoided and the effect of its sidelobes in the images is drastically diminished. Furthermore, the amount of data to be stacked in the sensor and then downlinked to the ground station is meaningfully lower. This permits a more efficient management of resources.

Subfields: Biomedical Engineering, Computational Mechanics, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/53000a328599087e791c9f1d936d753307c7a561

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. Paolo Rocca
2. Giacomo Oliveri
3. Andrea Massa

In Computational Mechanics

1. Paolo Rocca
2. Giacomo Oliveri
3. Andrea Massa

In Electrical and Electronic Engineering

1. Paolo Rocca
2. Giacomo Oliveri
3. Andrea Massa
4. Robert J. Mailloux
5. Z. Nie
6. Qing Huo Liu

Citations in the corpus

• Compressive Sensing in Electromagnetics - A Review (2015, methodology): “Within such a framework, a regularized OMP strategy [29] has been applied in [85], showing improved discrimination capabilities with respect to matched filtering algorithms [85] when detecting close targets.”