Abstract
Rockfall influences the safety of infrastructure and transportation lines normal operation, application of SAR technology to monitor the rockfall could predict rockfall disaster. One of the most important factors in rockfall target detection is the signal-to-clutter-plus noise ratio (SCNR) after clutter suppression, which should be maximized before rockfall target detection. Through analyzing remainder rockfall target characteristic after clutter suppression, the method of removing quadratic FM component introduced by platform velocity and along track velocity of rockfall target is proposed. After removing quadratic FM component by Dechirp technology, remainder rockfall target is focused in Doppler region image and the SCNR of remainder rockfall target is maximized. So, it has a preferable result in rockfall target detection. To resolve the contradiction between calculated amount and the accuracy of along track velocity, this paper adopts the technology of gradual approach. The effectiveness of the presented method is demonstrated by both theoretic analysis and simulated data.
Highlights
Rockfall influences the safety of infrastructure and transportation lines normal operation, application of SAR technology to monitor the rockfall could predict rockfall disaster
In order to maximize the CSNR of remainder rockfall targets signals after clutter suppression, and get a preferable result in rockfall target detection, this paper came out with a multichannel SAR rockfall detection and parameters estimation method combined with Dechirp technology to increase the signal-to-clutter-plus noise ratio (SCNR) of remainder rockfall target
SCNR clutter on the target signal after the elimination of remainder rockfall directly affects the target detection performance of rockfall
Summary
Rockfall influences the safety of infrastructure and transportation lines normal operation, application of SAR technology to monitor the rockfall could predict rockfall disaster. One is to restrain ground clutter, which should maximize SCNR of the signals of remainder rockfall targets as possible after clutter suppression to get a preferable result in rockfall target detection; the other is how to estimate parameters of rockfall targets accurately, to make focused image processing of the rockfall targets whose motion characteristics are unknown possible. In order to maximize the CSNR of remainder rockfall targets signals after clutter suppression, and get a preferable result in rockfall target detection, this paper came out with a multichannel SAR rockfall detection and parameters estimation method combined with Dechirp technology to increase the SCNR of remainder rockfall target. After removing quadratic FM component by Dechirp technology, remainder rockfall target is focused in Doppler region image and the SCNR of remainder rockfall target is maximized, so it has a preferable result in rockfall target detection. This paper is arranged as follows, in the second section, the model of the three channel SAR-GMTI system is analyzed; the third section is based on the second section, analyzing the characteristics of the residual rockfall target signals; in the fourth section, the principle of successive approximation; in the fifth section, the method of parameter estimation is given; the conclusion is given in the seventh section
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