Range-Doppler imaging via a train of probing pulses

Authors:
Xing Tan;William Roberts;Jian Li;Petre Stoica
Affiliations:
Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL;Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL;Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL;Department of Information Technology, Uppsala University, Uppsala, Sweden
Venue:
IEEE Transactions on Signal Processing
Year:
2009

Citing 1
Cited 2

On Binary Probing Signals and Instrumental Variables Receivers for Radar

IEEE Transactions on Information Theory

Range-doppler imaging via forward-backward sparse bayesian learning

IEEE Transactions on Signal Processing
A Bayesian approach to SAR imaging

Digital Signal Processing

Quantified Score

Hi-index	35.69

Visualization

Abstract

We consider range-Doppler imaging via transmitting a train of probing pulses. We present two methods for range-Doppler imaging. The first one is based on the instrumental variables (IV) filter and the second one is based on the iterative adaptive approach (IAA). Numerical results show that both methods can suppress interference from neighboring range and Doppler bins. An attractive feature of the IV filter is that it can be computed offline. IAA has better performance than IV and has super resolution, but at the cost of a higher computational complexity.