Estimating of geometrical theory of diffraction (GTD) model parameters accurately and efficiently is significant for automatic target recognition.In this paper, a time-domain sparse component analysis method is designed for parameter estimation of GTD model.Firstly, potential locations of scattering centers, as well as columns of the dictionary, are reduced according to the high resolution range profile.Secondly, the time domain responses of GTD model is used to construct the dictionary, and the small amplitude areas are cut off.Compared with the presented method, not only columns of the new dictionary are reduced, but also the dictionary becomes a sparse matrix.As a consequence, it needs less memory to store, which is helpful to decrease computational complexity of component analysis.In addition, a reconstruction method based on the orthogonal matching pursuit is designed for our dictionary.Finally, experimental results demonstrate the performance and efficiency of the proposed method.
[1] Potter L C,Chiang D M,Carriere R,el al.A GTD-based parametric model for radarscattering[J].IEEE Trans Antennas and Propagation,1995,43(10):1058-1066.
[2] 石志广,周剑雄,赵宏钟,等.基于协同粒子群优化的GTD模型参数估计方法[J].电子学报,2007,35(6):1102-1107. Shi Z G,Zhou J X,Zhao H Z,et al.A GTD Scattering center model parameter estimation method based on CPSO[J].Acta Electronica Sinica,2007,35(6):1102-1107.(in Chinese)
[3] 杜小勇,胡卫东,郁文贤.基于稀疏成份分析的几何绕射模型参数估计[J].电子与信息学报,2006,35(2):363-366. Du X Y,Hu W D,Yu W X.Parameter estimation of GTD model based on sparse component analysis[J].Journal of Electronics Information Technology,2006,28(2):363-366.(in Chinese)
[4] Ausin C D.Sparse Methods for Model Estimation with Applications to Radar Imaging[D].Columbus:The Ohio State University,2012.
[5] 邱伟,赵宏钟,周剑雄,等.基于联合稀疏性的高分辨全极化雷达成像研究[J].电子学报,2013,41(9):1685-425. Qiu Wei,Zhao Hong-zhong,Zhou jian-xiong,et al.High resolution full polarization radar Imaging based on joint sparsity[J].Acta Electronica Sinica,2013,40(9):1685-1693.(in Chinese)
[6] 周汉飞,李禹,粟毅.基于压缩感知的多角度SAR特征提取[J].电子学报,2013,41(3):543-548. Zhou Han-fei,LI Yu,Su Yi.Multi-aspect SAR feature extraction based on compressive sensing[J].Acta Electronica Sinica,2013,41(3):543-548.(in Chinese)
[7] Zhang L,Qiao Z J,Xing M D,et al.High-resolution ISAR imaging by exploiting sparse apertures[J].IEEE Trans on Antennas and Propagation,2012,60(2):997-1008.
[8] Donoho D L,Tsaig Y,Drori I,et al.Sparse solution of underdetermined systems of linearequations by stagewise orthogonal matching pursuit[J].IEEE Trans on Information Theory,2012,58(2):1094-1121.
[9] Donoho D L,Elad M,Temlyakov V N.Stable recovery of sparse over complete representation in the presence of noise[J].IEEE Trans Information Theory,2006,52(4):6-18.
[10] Gerry M J,Potter L C,Gupta I J.A parametric modelfor synthetic aperture radar measurements[J].IEEE Trans on Antennas and Propagation,1999,4(7):1179-1188.
2016, Vol. 44 
