He Jin, Zhang Qun, Deng Dong-Hu, Li Song. Imaging and Motion Feature Extraction for the Targets with Rotating Parts in ISAL[J]. Journal of Electronics & Information Technology, 2012, 34(6): 1284-1290. doi: 10.3724/SP.J.1146.2011.00726
Citation:
He Jin, Zhang Qun, Deng Dong-Hu, Li Song. Imaging and Motion Feature Extraction for the Targets with Rotating Parts in ISAL[J]. Journal of Electronics & Information Technology, 2012, 34(6): 1284-1290. doi: 10.3724/SP.J.1146.2011.00726
He Jin, Zhang Qun, Deng Dong-Hu, Li Song. Imaging and Motion Feature Extraction for the Targets with Rotating Parts in ISAL[J]. Journal of Electronics & Information Technology, 2012, 34(6): 1284-1290. doi: 10.3724/SP.J.1146.2011.00726
Citation:
He Jin, Zhang Qun, Deng Dong-Hu, Li Song. Imaging and Motion Feature Extraction for the Targets with Rotating Parts in ISAL[J]. Journal of Electronics & Information Technology, 2012, 34(6): 1284-1290. doi: 10.3724/SP.J.1146.2011.00726
Inverse Synthetic Aperture LADAR (ISAL) can realize high resolution imaging for targets. However, if there are rotating parts in the targets, the echo from rotating parts would influence the imaging for targets. A micro-Doppler feature extraction and imaging method for the targets with rotating parts in ISAL is proposed. The echo is compensated by matched reference signal method firstly. Then, the micro-Doppler curves are separated from frequency-slow time spectrogram. The parameters of micro-Doppler curves are extracted fast based on the periodicity of the curves. Finally, the echo of rotating parts is separate from the echo of target body, and the 2-D imaging for target is realized. Simulation shows that the proposed method can not only filter out the pollution caused by rotating parts in ISAL imaging, but also provide new information for the target identification.