基于压缩感知的二维联合超分辨ISAR成像算法_吴敏_图文

1、 192 电 子 与 信 息 学 报 第 36 卷 对距离和方位向的联合处理， 完整保留了目标2维耦 合信息；通过运用CG, FFT和Hadamard乘积，大 大提高了算法的运算效率。但所提算法是基于傅里 叶模型构建的，要求信号相对平稳，不能有效处理 强机动目标， 下一步工作将探索更完善模型的构建， 对强机动目标进行超分辨成像处理。 图4 超分辨性能对比 第1期 吴 敏等： 基于压缩感知的二维联合超分辨 ISAR 成像算法 193 图5 不同SNR下利用不同算法得到的超分辨成像结果 参 考 文 献 1 Suwa K, Toshio Wakayama, and Iwamoto M. 10 Thr

2、ee-dimensional target geometry and target motion estimation method using multistatic ISAR movies and its performanceJ. IEEE Transactions on Geoscience and Remote Sensing, 2011, 49(6: 2361-2373. 2 Wu P R A. criterion for radar resolution enhancement with Burg algorithmJ. IEEE Transactions on Aerospac

3、e and Electronic Systems, 1995, 31(3: 897-915. 3 Bi Z, Li J, and Liu Z S. Super resolution SAR imaging via parametric spectral estimation methodsJ. IEEE 12 Transactions on Aerospace and Electronic Systems, 1999, 35(1: 267-281. 4 5 6 杜小勇. 稀疏成份分析及在雷达成像处理中的应用D. 博士 论文, 国防科技大学, 2005. Donoho D L. Compress

4、ed sensingJ. IEEE Transactions on Information Theory, 2006, 52(4:1289-1306. Zhang Lei, Qiao Zhi-jun, Xing Meng-dao et al. Highresolution ISAR imaging by exploiting sparse aperturesJ. IEEE Transactions on Antennas and Propagation, 2012: 60(2: 997-1008. 7 Zhang Lei, Sheng Jia-lian, Xing Meng-dao, et a

5、l. Coherent processing for ISAR imaging with sparse apertures synthetic aperture radarC. European Conference on Synthetic Aperture Radar 2012, Nuremberg, Germany, April 23-26, 2012: 267-270. 8 Lane R O, Copsey K D, and Webb A R. A Bayesian approach to simultaneous autofocus and super-resolutionC. Pr

6、oceedings of International Society for Optical Engineering, Orlando, America, September 2, 2004, 5427: 133-142. 9 Simoncelli E P and Adelson E H. Noise removal via Bayesian 张 14 15 13 11 wavelet coringC. Proceedings of 3rd IEEE International Conference on Image Processing, Lausanne, Switzerland, Sep

7、tember 16-19, 1996, 1: 379-382. Zhu D, Wang L, Yu Y, et al. Robust ISAR range alignment via minimizing the entropy of the average range profileJ. IEEE Geoscience and Remote Sensing Letters, 2009, 6(2: 204-208. Munoz-Ferreras J M, Perez-Martinez F, and Datcu M. Generalisation of inverse synthetic ape

8、rture radar autofocusing methods based on the minimization of the Renyi entropyJ. IET Radar, Sonar & Navigation, 2010, 4(4: 586-594. Ye W, Yeo T S, and Bao Z. Weighted least squares estimation of phase errors for SAR/ISAR autofocusJ. IEEE Transactions on Geoscience and Remote Sensing, 1999, 37(5

9、: 2487-2494. Ji S, Xue Y, and Carin L. Bayesian compressive sensingJ. IEEE Transactions on Signal Processing, 2008, 56(6: 2346-2356. 张磊. 高分辨SAR/ISAR成像及误差补偿技术研究D. 博士 论文, 西安电子科技大学, 2012. Zhou Hua, Alexander D, and Lange K. A quasi-Newton acceleration for high-dimensional optimization algorithmsJ. Statistics and Computi