Fan Chong-Yi, Huang Xiao-Tao. Moving Target Detection Based on Multiple Azimuth Resolution Images in Low Frequency SAR[J]. Journal of Electronics & Information Technology, 2012, 34(5): 1057-1064. doi: 10.3724/SP.J.1146.2011.00991
Citation:
Fan Chong-Yi, Huang Xiao-Tao. Moving Target Detection Based on Multiple Azimuth Resolution Images in Low Frequency SAR[J]. Journal of Electronics & Information Technology, 2012, 34(5): 1057-1064. doi: 10.3724/SP.J.1146.2011.00991
Fan Chong-Yi, Huang Xiao-Tao. Moving Target Detection Based on Multiple Azimuth Resolution Images in Low Frequency SAR[J]. Journal of Electronics & Information Technology, 2012, 34(5): 1057-1064. doi: 10.3724/SP.J.1146.2011.00991
Citation:
Fan Chong-Yi, Huang Xiao-Tao. Moving Target Detection Based on Multiple Azimuth Resolution Images in Low Frequency SAR[J]. Journal of Electronics & Information Technology, 2012, 34(5): 1057-1064. doi: 10.3724/SP.J.1146.2011.00991
The moving target detection based on multiple azimuth resolution images is proposed for Ground Moving Target Indication (GMTI) in the low frequency Synthetic Aperture Radar (SAR). This paper analyzes the characteristics of static and moving target on a seriers of images with different azimuth resolutions first. The azimuth 3 dB Impulsion Response Width (IRW), range smearing distance and the unitary energy are used to distinguish moving target from static targets. Then, the moving target detection algorithm is presented based on these characteristics. This algorithm has lower computation load and lower Signal-to-Noise Ratio (SNR) and can detect the moving target quickly. The range of velocity detection is wide, which is suitable for practice. Both simulation and real data experiment illustrate the effectiveness of this algorithm.