Biblio
Filters: Keyword is constant false alarm rate (CFAR) [Clear All Filters]
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2022. Constant False Alarm Rate Frame Detection Strategy for Terrestrial ASM/VDE Signals Received by Satellite. 2022 IEEE 5th International Conference on Electronics and Communication Engineering (ICECE). :29—33.
Frame detection is an important part of the reconnaissance satellite receiver to identify the terrestrial application specific messages (ASM) / VHF data exchange (VDE) signal, and has been challenged by Doppler shift and message collision. A constant false alarm rate (CFAR) frame detection strategy insensitive to Doppler shift has been proposed in this paper. Based on the double Barker sequence, a periodical sequence has been constructed, and differential operations have been adopted to eliminate the Doppler shift. Moreover, amplitude normalization is helpful for suppressing the interference introduced by message collision. Simulations prove that the proposed CFAR frame detection strategy is very attractive for the reconnaissance satellite to identify the terrestrial ASM/VDE signal.
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2020. A Target Detection Method in SAR Images Based on Superpixel Segmentation. 2020 IEEE 3rd International Conference on Electronic Information and Communication Technology (ICEICT). :528—530.
A synthetic aperture radar (SAR) target detection method based on the fusion of multiscale superpixel segmentations is proposed in this paper. SAR images are segmented between land and sea firstly by using superpixel technology in different scales. Secondly, image segmentation results together with the constant false alarm rate (CFAR) detection result are coalesced. Finally, target detection is realized by fusing different scale results. The effectiveness of the proposed algorithm is tested on Sentinel-1A data.