A NOVEL MOVING TARGET DETECTION APPROACH FOR DUAL-CHANNEL SAR SYSTEM
Author(s) -
Bin Tian,
Daiyin Zhu,
Zhaoda Zhu
Publication year - 2011
Publication title -
electromagnetic waves
Language(s) - English
Resource type - Journals
eISSN - 1559-8985
pISSN - 1070-4698
DOI - 10.2528/pier10120107
Subject(s) - constant false alarm rate , moving target indication , detector , computer science , false alarm , eigendecomposition of a matrix , statistic , algorithm , artificial intelligence , covariance matrix , channel (broadcasting) , eigenvalues and eigenvectors , computer vision , pattern recognition (psychology) , radar , mathematics , statistics , physics , pulse doppler radar , radar imaging , telecommunications , quantum mechanics
A novel approach to moving target detection is proposed for dual-channel SAR system. This approach is on the basis of eigen- decomposition of the sample covariance matrix and examines the statistic of the second eigenvalue and the Along-Track Interferometric (ATI) phase for ground moving target indication. Based on this statistic, a new Constant False Alarm Rate (CFAR) detector can be designed to solve the problem of GMTI. To detect slow moving targets more accurately, the second eigenvalue and the ATI phase pre- thresholds are implemented before a CFAR detector. Experimental results on measured SAR data are presented to demonstrate that this novel detector has wider range of detection velocity and lower false alarm probability.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom