[1. C.H. Chen, Q. Zhang, Y. Luo.: A waveform optimization designing method for cognitive radar with steppedfrequency signal. Acta Aeronautica et Astronautica Sinica, No 7, Vol 37, 2016, p. 2276-2285]Search in Google Scholar
[2. S. Haykin.: Cognitive radar: a way of the future. IEEE Signal Processing Magazine., No 1, Vol 23, 2006, p. 30-4010.1109/MSP.2006.1593335]Search in Google Scholar
[3. J. Shang, D. Zhao, Y. Wei.: Pareto-Optimal Sparse Frequency Radar Waveform Design. Systems Engineering and Electronics, No 7, Vol 38, 2016, p. 1538-1542]Search in Google Scholar
[4. D. Cochran, S. Suvorova, SD. Howard, B. Moran.: Waveform Libraries. IEEE Signal Processing Magazine, No 1, Vol 26, 2009, p. 12-2110.1109/MSP.2008.930415]Search in Google Scholar
[5. X. Li, M.M. Fan.: Research Advance on Cognitive Radar and Its Key Technology. ACTA ELECTRONICA SINICA, No 9, Vol 40, 2012, p. 1863-1870]Search in Google Scholar
[6. H.E. Xia.: Adaptive Waveform Selection Techniques for Target Tracking. ChangSha, 2010.]Search in Google Scholar
[7. D.B. Yu, Y.H. Wu, W.G. Zhu: Research on Selection Methods of Target Tracking Waveforms Based on a Waveform Library. RADAR & ECM, No 2, Vol 33, 2013, p.35-42]Search in Google Scholar
[8. A.A.A. Solyman, S. Weiss, J.J. Soraghan.: Low-Complexity LSMR Equalisation of FrFT-Based Multicarrier Systems in Doubly Dispersive Channels. IEEE International Symposium on Signal Processing and Information Technology, ISSPIT 2011, p. 461-465, 201110.1109/ISSPIT.2011.6151606]Search in Google Scholar
[9. B. Jin.: Research on Target Tracking Methods in Cognitive Radar [D]. Xian, Xian Electronics Science and Technology University, 2014.]Search in Google Scholar
[10. C.V. Ilioudis, C. Clemente, I. Proudler, J.J. Soraghan.: Performance Analysis of Fractional Waveform Libraries in MIMO Radar Scenario. IEEE National Radar Conference - Proceedings, v 2015-June, June, p. 1119-112410.1109/RADAR.2015.7131162]Search in Google Scholar
[11. C.V. Ilioudis, C. Clemente, I. Proudler, J.J. Soraghan.: Radar Waveform Libraries Using Fractional Fourier Transform. in 2014 IEEE Radar Conference, Cincinnati, Ohio, 19-23 May 2014.]Search in Google Scholar
[12. F. Zhang, R. Tao, Y. Wang.: Angle Resolution of Fractional Fourier Transform. 2014 31th URSI General Assembly and Scientific Symposium, URSI GASS 2014, October 17, 201410.1109/URSIGASS.2014.6929003]Search in Google Scholar
[13. Zhang. Lili, Liu Sixin, Qu, Lete, et al.: Research on wavelet extraction of gpr signals based on multilevel fractional fourier transform filter [J]. Journal of the Balkan Tribological Assocaitaion, Vol. 22, No 1, 2016, p. 807-818]Search in Google Scholar
[14. H.M. Ozaktas, M.A. Kutay, D. Mendlovic.: Introduction to the Fractional Fourier Transform and its Applications. IEEE Signal Processing Magazine., No 9, Vol 44, 1996, p. 2141-2150.10.1109/78.536672]Search in Google Scholar
[15. L.B. Almeida.: The fractional Fourier Transform and Time- Frequency Representations. IEEE Transactions on Signal Processing., No 11, Vol 42, 1994, p. 3084-309110.1109/78.330368]Search in Google Scholar
[16. H.L.V. Trees.: Detection, Estimation, and Modulation Theory, Part III. New York, 200110.1002/0471221090]Search in Google Scholar
[17. X.Y. Li, Y.L. Dong, L. Zhang, J. Guan.: A New Design Method of Low Sidelobe Level LFM Noise Radar Waveform. Journal of Electronics & Information Technology, No 6, Vol 38, 2016, p. 1452-1459]Search in Google Scholar
[18. C. Gao, K.C. The, A. Liu, H. Sun.: Piecewise LFM Waveform for MIMO Radar. IEEE Transactions on Aerospace and Electronic Systems., No 2, Vol 52, 2016, p. 590-60210.1109/TAES.2015.140033]Search in Google Scholar
[19. J. Yang, Z. Qiu, X. LI, Z. Zhuang.: Analysis and Processing of the Chaotic-Based Random Stepped Frequency Signal. Journal of National University of Defense Technology, No 6, Vol 34, 2012, p. 163-169]Search in Google Scholar