1. Kong, L. and M. Luo, "Co-frequency interference suppression algorithm via maximum signal minus interference level," Progress In Electromagnetics Research, Vol. 104, No. 4, 183-199, 2010.
doi:10.2528/PIER10032307 Google Scholar
2. Kleeman, L., "Real time mobile robot sonar with interference rejection," Sensor Review, Vol. 19, No. 3, 214-221, 1999.
doi:10.1108/02602289910279193 Google Scholar
3. Zhou, L. L., H. B. Zhu, N. T. Zhang, and , "Iterative solution to the notched waveform design in cognitive ultra-wideband radio system," Progress In Electromagnetics Research, Vol. 75, 271-284, 2007.
doi:10.2528/PIER07060903 Google Scholar
4. Aubry, A., A. De Maio, A. Farina, et al., "Knowledge-aided (potentially cognitive) transmit signal and receive filter design in signal-dependent clutter," IEEE Transactions on Aerospace and Electronic Systems, Vol. 49, No. 1, 93-117, 2013.
doi:10.1109/TAES.2013.6404093 Google Scholar
5. Li, N. and Y. Zhang, "A survey of radar ECM and ECCM," IEEE Transactions on Aerospace and Electronic Systems, Vol. 31, No. 3, 1110-1120, 1995.
doi:10.1109/7.395232 Google Scholar
6. Van Trees, H. L., "Optimum signal design and processing for reverberation-limited environments," IEEE Transactions on Military Electronics, Vol. 9, No. 3, 212-229, 1965.
doi:10.1109/TME.1965.4323213 Google Scholar
7. Lu, S., G. Cui, W. Yi, et al. "Radar waveform design against signal-dependent jamming," IEEE Radar Conference, 1075-1080, 2017. Google Scholar
8. Fu, Y., G. Cui, and X. Yu, "Robust design of constant modulus sequence and receiver filter in the presence of signal-dependent clutter," Journal of Radars, Vol. 6, No. 3, 292-299, 2017. Google Scholar
9. Stoica, P., J. Li, and Y. Xie, "On probing signal design for MIMO radar," IEEE Transactions on Signal Processing, Vol. 55, No. 8, 4151-4161, 2007.
doi:10.1109/TSP.2007.894398 Google Scholar
10. Li, J., J. R. Guerci, and L. Xu, "Signal waveform’s optimal under restriction design for active sensing," Fourth IEEE Workshop on Sensor Array and Multichannel Processing, 382-386, 2006. Google Scholar
11. De Maio, A., S. De Nicola, Y. Huang, et al. "Design of phase codes for radar performance optimization with a similarity constraint," IEEE Transactions on Signal Processing, Vol. 57, No. 2, 610-621, 2009.
doi:10.1109/TSP.2008.2008247 Google Scholar
12. Cui, G., Y. Fu, X. Yu, et al. "Local ambiguity function shaping via unimodular sequence design," IEEE Signal Processing Letters, Vol. 24, No. 7, 977-981, 2017.
doi:10.1109/LSP.2017.2700396 Google Scholar
13. Stoica, P., J. Li, and M. Xue, "Transmit codes and receive filters for radar," IEEE Signal Processing Magazine, Vol. 25, No. 6, 94-109, 2008.
doi:10.1109/MSP.2008.929231 Google Scholar
14. Chen, C. Y. and P. P. Vaidyanathan, "MIMO radar waveform optimization with prior information of the extended target and clutter," IEEE Transactions on Signal Processing, Vol. 57, No. 9, 3533-3544, 2009.
doi:10.1109/TSP.2009.2021632 Google Scholar
15. Romero, R. A. and N. A. Goodman, "Waveform design in signal-dependent interference and application to target recognition with multiple transmissions," IET Radar, Sonar & Navigation, Vol. 3, No. 4, 328-340, 2009.
doi:10.1049/iet-rsn.2008.0146 Google Scholar
16. Stoica, P., H. He, and J. Li, "Optimization of the receive filter and transmit sequence for active sensing," IEEE Transactions on Signal Processing, Vol. 60, No. 4, 1730-1740, 2012.
doi:10.1109/TSP.2011.2179652 Google Scholar
17. Aubry, A., A. De Maio, M. Piezzo, et al. "Cognitive design of the receive filter and transmitted phase code in reverberating environment," IET Radar, Sonar & Navigation, Vol. 6, No. 9, 822-833, 2012.
doi:10.1049/iet-rsn.2012.0029 Google Scholar
18. Cui, G., H. Li, and M. Rangaswamy, "MIMO radar waveform design with constant modulus and similarity constraints," IEEE Transactions on Signal Processing, Vol. 62, No. 2, 343-353, 2014.
doi:10.1109/TSP.2013.2288086 Google Scholar
19. Tang, B., J. Li, Y. Zhang, et al. "Design of MIMO radar waveform covariance matrix for Clutter and Jamming suppression based on space time adaptive processing," Signal Processing, Vol. 121, 60-69, 2016.
doi:10.1016/j.sigpro.2015.10.033 Google Scholar
20. Sparrow, M. J. and J. Cikalo, "ECM techniques to counter pulse compression radar," U.S. Patent, No. 7,081,84, 2006. Google Scholar
21. Lu, S., W. Yi, G. Cui, et al. "Design and application of dynamic environmental knowledge base," IET Radar, Sonar & Navigation, Vol. 10, No. 6, 1118-1126, 2016.
doi:10.1049/iet-rsn.2015.0516 Google Scholar
22. Aubry, A., A. De Maio, M. Piezzo, et al. "Cognitive radar waveform design for spectral coexistence in signal-dependent interference," IEEE Radar Conference, 0474-0478, 2013. Google Scholar
23. Wang, G. and Y. L. Lu, "Sparse frequency waveform design for MIMO radar," Progress In Electromagnetics Research B, Vol. 20, 19-32, 2010.
doi:10.2528/PIERB10010405 Google Scholar
24. Song, J., P. Babu, and D. P. Palomar, "Optimization methods for designing sequences with low autocorrelation sidelobes," IEEE Transactions on Signal Processing, Vol. 63, No. 15, 3998-4009, 2015.
doi:10.1109/TSP.2015.2425808 Google Scholar
25. Haykin, S., "Cognitive radar: A way of the future," IEEE Signal Processing Magazine, Vol. 23, No. 1, 30-40, 2006.
doi:10.1109/MSP.2006.1593335 Google Scholar
26. Zeng, D., H. Xiong, J. Wang, and B. Tang, "An approach to intra-pulse modulation recognition based on the ambiguity function," Circuits, Systems and Signal Processing, Vol. 29, No. 6, 1103-1122, 2010.
doi:10.1007/s00034-010-9192-6 Google Scholar
27. Greco, M., F. Gini, and A. Farina, "Radar detection and classification of jamming signals belonging to a cone class," IEEE Transactions on Signal Processing, Vol. 56, No. 5, 1984-1993, 2008.
doi:10.1109/TSP.2007.909326 Google Scholar
28. Li, Y., Y. Xiong, and B. Tang, "SMSP jamming identification based on Matched Signal transform," 2011 IEEE International Conference on Computational Problem-Solving (ICCP), 182-185, 2011. Google Scholar
29. Zhou, C., F. Shi, and Q. Liu, "Research on parameters estimation and suppression for C&I jamming," 2016 CIE International Conference on Radar, 1-4, 2016. Google Scholar
30. Boyd, S. and L. Vandenberghe, Convex Optimization, Cambridge University Press, 2004.
doi:10.1017/CBO9780511804441
31. Zhang, S. and Y. Huang, "Complex quadratic optimization and semidefinite programming," SIAM J. Optimiz., Vol. 16, No. 3, 871-890, 2006.
doi:10.1137/04061341X Google Scholar
32. Soltanalian, M. and P. Stoica, "Designing unimodular codes via quadratic optimization," IEEE Transactions on Signal Processing, Vol. 62, No. 5, 1221-1234, 2014.
doi:10.1109/TSP.2013.2296883 Google Scholar
33. Hunter, D. R. and K. Lange, "A tutorial on MM algorithms," The American Statistician, Vol. 58, No. 1, 30-37, 2004.
doi:10.1198/0003130042836 Google Scholar
34. Stoica, P. and Y. Selen, "Cyclic minimizers, majorization techniques, and the expectationmaximization algorithm: A refresher," IEEE Signal Processing Magazine, Vol. 21, No. 1, 112-114, 2004.
doi:10.1109/MSP.2004.1267055 Google Scholar
35. Cui, G., X. Yu, G. Foglia, et al. "Quadratic optimization with similarity constraint for unimodular sequence synthesis," IEEE Transactions on Signal Processing, Vol. 65, No. 18, 4756-4769, 2017.
doi:10.1109/TSP.2017.2715010 Google Scholar
36. Varadhan, R. and C. Roland, "Simple and globally convergent methods for accelerating the convergence of any EM algorithm," Scandinavian Journal of Statistics, Vol. 35, No. 2, 335-353, 2008.
doi:10.1111/j.1467-9469.2007.00585.x Google Scholar
37. Cui, G., X. Yu, V. Carotenuto, et al. "Space-time transmit code and receive filter design for colocated MIMO Radar," IEEE Transactions on Signal Processing, Vol. 65, No. 5, 1116-1129, 2017.
doi:10.1109/TSP.2016.2633242 Google Scholar