Imaging of moving targets of dual-channel MIMO-SAR

被引:1
|
作者
Wu Q.-S. [1 ]
Xing M.-D. [1 ]
Bao Z. [1 ]
机构
[1] National Lab of Radar Signal Processing, Xidian Univ.
关键词
Discrete chirp-Fourier transform (DCFT); Motion parameter estimation; Multiple-input multiple-output (MIMO) system; Synthetic aperture radar (SAR);
D O I
10.3969/j.issn.1001-506X.2010.05.010
中图分类号
学科分类号
摘要
Based on the novel system with multiple-input multiple-output synthetic aperture radar (MIMO-SAR), an approach combining displaced phase center antenna (DPCA) with discrete chirp-Fourier transform (DCFT) is proposed for the detection, positioning and imaging of moving targets. The DCFT method is applied to estimate the along-track velocities of moving targets. Considering the useful characteristic of a single maximum value in amplitude figure which is aroused when the DCFT is used to deal with the chirp signal, a fast arithmetic for searching their along-track velocities is presented. Since the positions after pulse compression are different under the condition that the identical Doppler centroid frenquecy lies in the different carrier frequencies, the ratio of the positions is used to resolve the times of ambiguities; thus the reposition can be achieved. In the process of resolving the ambiguities, the analysis of the choice of carrier frequencies is provided. Through extending the single-input multiple-output system to a dual-channel MIMO system, the detection of moving targets under the low signal-to-noise ratio is achieved; moreover, the motion parameters, position and imaging of moving targets can also be estimated.
引用
收藏
页码:921 / 926
页数:5
相关论文
共 19 条
  • [1] Muehe C.E., Labitt M., Displaced-phase center antenna technique, Lincoln Laboratory Journal, 12, 3, pp. 281-296, (2000)
  • [2] Wang G., Xia X., Detection location and imaging of fast moving targets using multifrequency antenna array SAR, IEEE Correspondence, 15, 2, pp. 345-354, (2004)
  • [3] Dong Y., Tao R., Zhou S., Et al., SAR moving target detection and imaging based on fractional Fourier transform, ACTA Armamentar, 20, 2, pp. 132-136, (1999)
  • [4] Sun H., Liu G., Gu H., Et al., Application of fractional Fourier transform to moving target detection in airborne SAR, IEEE Trans. on Aerospace and Electronic Systems, 38, 4, pp. 1416-1424, (2002)
  • [5] Namias V., The fractionalorder Fourier transform and its application to quantum mechanics, IMA Journal of Applied Mathematics, 25, 3, pp. 241-265, (1980)
  • [6] pp. 875-896, (1998)
  • [7] Ender J.H.G., MIMO-SAR, International Radar Symposium, pp. 580-588, (2007)
  • [8] Klare J., Digital beamforming for a 3D MIMO SAR-improvements through frequency and waveform diversity, Proc. of the International Geoscience and Remote Sensing Symposium, 5, pp. 17-20, (2008)
  • [9] Ender J.H.G., Klare J., System architectures and algorithms for radar imaging by MIMO-SAR, Radar Conference, pp. 1-4, (2009)
  • [10] Ender J.H.G., Along-track array processing for MIMO-SAR/MTI, European Conference on Synthetic Aperture Radar, pp. 4032-4036, (2008)