Autofocusing of SAR images based on parameters estimated from the PHAF

Authors:
Vesna Popović;Igor Djurović;LJubiša Stanković;Thayananthan Thayaparan;Miloš Daković
Affiliations:
University of Montenegro, Electrical Engineering Department, Cetinjski put bb, 81000 Podgorica, Montenegro;University of Montenegro, Electrical Engineering Department, Cetinjski put bb, 81000 Podgorica, Montenegro;University of Montenegro, Electrical Engineering Department, Cetinjski put bb, 81000 Podgorica, Montenegro;Radar Applications and Space Technologies, Defence R&D Canada - Ottawa, Ottawa, Ontario, Canada;University of Montenegro, Electrical Engineering Department, Cetinjski put bb, 81000 Podgorica, Montenegro
Venue:
Signal Processing
Year:
2010

Citing 5
Cited 4

Adaptive S-method for SAR/ISAR imaging

EURASIP Journal on Advances in Signal Processing
Performance of quadratic time-frequency distributions as instantaneous frequency estimators

IEEE Transactions on Signal Processing
Product high-order ambiguity function for multicomponentpolynomial-phase signal modeling

IEEE Transactions on Signal Processing
Estimation and classification of polynomial-phase signals

IEEE Transactions on Information Theory
SAR imaging via modern 2-D spectral estimation methods

IEEE Transactions on Image Processing

A parametric method for non-stationary interference suppression in direct sequence spread-spectrum systems

Signal Processing
Time-frequency filtering-based autofocus

Signal Processing
Fractional Fourier transform as a signal processing tool: An overview of recent developments

Signal Processing
Genetic algorithm for rigid body reconstruction after micro-Doppler removal in the radar imaging analysis

Signal Processing

Quantified Score

Hi-index	0.08

Visualization

Abstract

The local polynomial Fourier transform (LPFT) based algorithm for auto-focusing SAR images has recently been proposed by the authors. It produces a well focused image of moving targets, without defocusing stationary targets or inducing undesired cross-terms. The drawback of this algorithm is its high computational burden caused by the large number of elements in the set of used chirp-rates. We propose an algorithm with decreased number of elements used for the LPFT-based SAR imaging. The product high-order ambiguity function (PHAF) is applied to estimate parameters of a radar signal. The estimated chirp-rate is used as an initial value for forming the set of chirp-rates. The proposed algorithm has significantly smaller set of chirp-rate values (tens comparing to several hundreds or thousands used in the previous algorithm version). In this manner, the calculation complexity is significantly reduced. The proposed procedure is fully automated, meaning that it follows the change of motion parameters. In addition, our procedure considers the third-order phase compensation.