[1] [1] Zuo L, Li M, Zhang X W, et al. An efficient method for detecting slow-moving weak targets in sea clutter based on time-frequency iteration decomposition[J]. IEEE Transactions on Geoscience and Remote Sensing, 2013, 51(6): 3659–3672.

[2] [2] Chen X L, Liu N B, Wang G Q, et al. Gaussian short-time fractional Fourier transform based detection algorithm of target with micro-motion at sea[J]. Acta Electronica Sinica, 2014, 42(5): 971–977.

[3] [3] Greco M, Stinco P, Gini F, et al. Impact of sea clutter nonstationarity on disturbance covariance matrix estimation and CFAR detector performance[J]. IEEE Transactions on Aerospace and Electronic Systems, 2010, 46(3): 1502–1513.

[4] [4] Luo F, Zhang D T, Zhang B. The fractal properties of sea clutter and their applications in maritime target detection[J]. IEEE Geoscience and Remote Sensing Letters, 2013, 10(6): 1295–1299.

[5] [5] Chen X L, Song J, Guan J, et al. Moving target detection at sea based on fractal characters in FRFT domain[C]//Proceedings of 2011 IEEE Radar Conference, 2011: 1–5.

[6] [6] Lu M F, Ni G Q, Bai T Z, et al. A novel method for suppressing the quantization noise based on fractional Fourier transform[J]. Transactions of Beijing Institute of Technology, 2015, 35(12): 1285–1290.

[7] [7] Wu J M, Lu M F, Tao R, et al. Improved FRFT-based method for estimating the physical parameters from Newton’s rings[J]. Optics and Lasers in Engineering, 2017, 91: 178–186.

[8] [8] Liu N, Tao R, Wang R, et al. Signal reconstruction from recurrent samples in fractional Fourier domain and its application in multichannel SAR[J]. Signal Processing, 2017, 131: 288–299.

[9] [9] Namias V. The fractional order Fourier transform and its application to quantum mechanics[J]. IMA Journal of Applied Mathematics, 1980, 25(2): 241–265.

[10] [10] Guan J, Chen X L, Huang Y, et al. Adaptive fractional Fourier transform-based detection algorithm for moving target in heavy sea clutter[J]. IET Radar, Sonar & Navigation, 2012, 6(5): 389–401.

[11] [11] Chen X L, Guan J, Yu X H, et al. Radar micro-Doppler signature extraction and detection via short-time sparse time-frequency distribution[J]. Journal of Electronics & Information Technology, 2017, 39(5): 1017–1023.

[12] [12] Hassanieh H, Indyk P, Katabi D, et al. Simple and practical algorithm for sparse Fourier transform[C]//Proceedings of the 23rd Annual ACM-SIAM Symposium on Discrete Algorithms, 2012: 1183–1194.

[13] [13] Gilbert A C, Indyk P, Iwen M, et al. Recent developments in the sparse Fourier transform: A compressed Fourier transform for big data[J]. IEEE Signal Processing Magazine, 2014, 31(5): 91–100.

[14] [14] Hassanieh H, Indyk P, Katabi D, et al. Nearly optimal sparse Fourier transform[C]//Proceedings of the 44th Annual ACM Symposium on Theory of Computing, 2012: 563–577.

[15] [15] Pei S C, Ding J J. Closed-form discrete fractional and affine Fourier transforms[J]. IEEE Transactions on Signal Processing, 2000, 48(5): 1338–1353.

[16] [16] Liu S H, Shan T, Tao R, et al. Sparse discrete fractional Fourier transform and its applications[J]. IEEE Transactions on Signal Processing, 2014, 62(24): 6582–6595.

[17] [17] Liu S H, Shan T, Zhang Y D, et al. A fast algorithm for multi- component LFM signal analysis exploiting segmented DPT and SDFrFT[C]//Proceedings of 2015 IEEE Radar Conference, 2015: 1139–1143.

[18] [18] Chen X L, Guan J, Dong Y L, et al. Sea clutter suppression and micromotion target detection in sparse domain [J]. Acta Electronica Sinica, 2016, 44(4): 860–867.