1. Fisher, E., A. Haimovich, R. Blum, L. Cimini, D. Chizhik, and R. Valenzuela, "MIMO radar: An idea whose time has come," Proceedings of IEEE Radar Conference 2004, 71-78, Apr. 2004. Google Scholar
2. Fisher, E., A. Haimovich, R. Blum, L. Cimini, D. Chizhik, and R. Valenzuela, "Spatial diversity in radars --- Models and detection performance," IEEE Transactions on Signal Processing, Vol. 20, No. 3, 823-838, Mar. 2006.
doi:10.1109/TSP.2005.862813 Google Scholar
3. Bliss, D. W. and K. W. Forsythe, "Multiple-input multiple-output (MIMO) radar and imaging: Degrees of freedom and resolution," Proceedings of 37th Asilomar Conference on Signals, System, and Computers, 54-59, Nov. 2003. Google Scholar
4. Li, J., "MIMO radar: Diversity means superiority," Proceedings of Adaptive Sensor Array Processing-2006, 305-309, Jun. 2006. Google Scholar
5. Li, J., P. Stoica, L. Xu, and W. Roberts, "On parameter identifiability of MIMO radar," IEEE Signal Processing Letters, Vol. 14, No. 12, 968-971, Dec. 2007.
doi:10.1109/LSP.2007.905051 Google Scholar
6. Sammartino, P. F., C. J. Baker, and H. D. Griffths, "MIMO radar performance in clutter environment," Proceedings of 2006 CIE Radar Conference, 1-4, Shanghai, Oct. 2006. Google Scholar
7. Bekkerman, I. and J. Tabrikian, "Target detection and localization using MIMO radars and sonars," IEEE Transactions on Signal Processing, Vol. 54, No. 10, 3873-3883, Oct. 2006.
doi:10.1109/TSP.2006.879267 Google Scholar
8. Deng, H., "Polyphase code design for orthogonal netted radar systems," IEEE Transactions on Signal Processing, Vol. 52, No. 11, 3126-3135, Nov. 2004.
doi:10.1109/TSP.2004.836530 Google Scholar
9. Khan, H. A., Y. Y. Zhang, C. Ji, C. J. Stevens, D. J. Edwards, and D. O'Brien, "Optimizing polyphase sequences for orthogonal netted radar ," IEEE Signal Processing Letters, Vol. 13, No. 10, 589-592, Oct. 2006.
doi:10.1109/LSP.2006.877143 Google Scholar
10. Li, J., P. Stoica, and X. Zhu, "MIMO radar waveform synthesis," Proceedings of IEEE Radar Conference 2008, 1-6, May 2008.
doi:10.1109/RADAR.2008.4721035 Google Scholar
11. He, H., P. Stoica, and J. Li, "Designing unimodular sequence sets with good correlations | Including an application to MIMO radar," IEEE Transactions on Signal Processing, Vol. 57, No. 11, 4391-4405, 2009.
doi:10.1109/TSP.2009.2025108 Google Scholar
12. Frazer, G. J., Y. I. Abramovich, B. A. Johnson, and F. C. Robey, "Recent results in MIMO over-the-horizon radar," Proceedings of IEEE Radar Conference, 1-6, May 2008. Google Scholar
13. Lesturgie, M., "Improvement of high-frequency surface waves radar performances by use of multiple-input multiple-output configurations ," IET Radar Sonar & Navigation, Vol. 3, 49-61, May 2008. Google Scholar
14. Wang, G. H. and Y. L. Lu, "High resolution MIMO-HFSWR using sparse frequency waveforms," Proceedings of ICSP, 1-6, Oct. 2008. Google Scholar
15. Lindenfeld, M. J., "Sparse frequency transmit and receive waveform design," IEEE Trans. on Aerospace and Electronic Systems, Vol. 40, 851-861, Jul. 2004. Google Scholar
16. Liu, W. X., Y. L. Lu, and M. Lesturgie, "Optimal sparse waveform design for HFSWR system," Proc. 2007 International Waveform Diversity and Design conference, 127-130, Pisa, Italy, May 26-30, 2007. Google Scholar
17. Wang, G. H. and Y. L. Lu, "Sparse frequency transmit waveform design with soft-power constraint by using PSO algorithm," Proc. IEEE Radar 2008, 127-130, Roma, Italy, May 2008. Google Scholar
18. Smith, S. T., "Optimum phase-only adaptive nulling," IEEE Transactions on Signal Processing, Vol. 47, No. 2, 1835-1843, Feb. 1999.
doi:10.1109/78.771033 Google Scholar
19. Kennedy, J. and R. Ebrhart, "Particle swarm optimization," Proc. IEEE Conf. Neural Networks IV, 1942-1948, Nov. 1995. Google Scholar
20. Ebrhart, R. and J. Kennedy, "A new optimizer using particle swarm theory," Proc. Intern. Symp. Micro. Mach. Hum. Sci., 39-43, Apr. 1995.
doi:10.1109/MHS.1995.494215 Google Scholar
21. Trelea, I. C., "The particle swarm optimization algorithm: Convergence analysis and parameter selection," Information Processing Letters, Vol. 85, 317-325, 2003.
doi:10.1016/S0020-0190(02)00447-7 Google Scholar
22. Parsopoulos, K. E. and M. N. Vrahatis, "Recent approaches to global optimization problems through particle swarm optimization," Natural Computing, Vol. 1, 235-306, 2002.
doi:10.1023/A:1016568309421 Google Scholar
23. Abramovich, Y. I., "Bounds on the volume and height distributions for the MIMO radar ambiguity function," IEEE Signal Processing Letters, Vol. 15, 505-508, 2008.
doi:10.1109/LSP.2008.922514 Google Scholar