2011-09-22
MIMO Radar Systems Design Based on Maximum Channel Capacity
By
Progress In Electromagnetics Research B, Vol. 34, 313-326, 2011
Abstract
In this paper, we consider the problem of bistatic multiple-input multiple-output (MIMO) radar systems design for parameters estimation. Maximum channel capacity is used as criterion for the problem of optimal systems design under transmitted power constraint and channel constraint. We obtain that the system design based on maximum channel capacity can be expressed as a joint optimization problem. Given the number of transmit antenna, the number of receive antenna and signal-noise ratio (SNR), the maximum channel capacity can be determined. This maximum channel capacity can be obtained from a unique appropriate power allocation and antenna placement strategy, which is very important for system design.
Citation
Hao-Wen Chen, Jincan Ding, Xiang Li, and Zhaowen Zhuang, "MIMO Radar Systems Design Based on Maximum Channel Capacity," Progress In Electromagnetics Research B, Vol. 34, 313-326, 2011.
doi:10.2528/PIERB11072101
References

1. Li, J. and P. Stoica, "MIMO radar with colocated antennas: Review of some recent work," IEEE Signal Process. Mag., Vol. 24, No. 5, 106-114, 2007.
doi:10.1109/MSP.2007.904812        Google Scholar

2. Haimovich, A. M., R. S. Blum, and L. Cimini, "MIMO radar with widely separated antennas," IEEE Signal Process. Mag., Vol. 25, No. 1, 116-129, 2008.
doi:10.1109/MSP.2008.4408448        Google Scholar

3. Chen, H.-W., X. Li, J. Yang, W. Zhou, and Z. W. Zhuang, "Effects of geometry configurations on ambiguity properties for bistatic MIMO radar," Progress In Electromagnetics Research B, Vol. 30, 117-133, 2011.        Google Scholar

4. Lesturgie, M., "Improvement of high-frequency surface waves radar performances by use of multiple-input multiple-output configurations," IET Radar Sonar Navig., Vol. 3, No. 1, 49-61, 2009.
doi:10.1049/iet-rsn:20070116        Google Scholar

5. Li, J. and P. Stoica, "MIMO Radar Signal Processing," Wiley, 2008.        Google Scholar

6. Frazer, G. J., Y. I. Abramovich, and B. A. Johnson, "Multiple-input multiple-output over-thehorizon radar: Experimental results," IET Radar Sonar Navig., Vol. 3, No. 4, 290-303, 2009.
doi:10.1049/iet-rsn.2008.0142        Google Scholar

7. Li, J., L. Xu, P. Stoica, K. W. Forsythe, and D. W. Bliss, "Range compression and waveform optimization for MIMO radar: A Cramer-Rao bound based study," IEEE Trans. Signal Process., Vol. 56, No. 1, 218-232, 2008.
doi:10.1109/TSP.2007.901653        Google Scholar

8. Yang, Y. and R. S. Blum, "MIMO radar waveform design based on mutual information and minimum mean-square error estimation," IEEE Trans. Aerosp. Electron. Syst., Vol. 43, 330-343, 2007.
doi:10.1109/TAES.2007.357137        Google Scholar

9. Yang, Y. and R. S. Blum, "Minimax robust MIMO radar waveform design," IEEE J. Sel. Topics Signal Process., Vol. 1, No. 1, 147-155, 2007.
doi:10.1109/JSTSP.2007.897056        Google Scholar

10. Tang, B., J. Tang and Y. N. Peng, "MIMO radar waveform design in colored noise based on information theory," IEEE Trans. Signal Process., Vol. 58, No. 9, 4684-4697, 2010.
doi:10.1109/TSP.2010.2050885        Google Scholar

11. Stoica, P., J. Li, and Y. Xie, "On probing signal design for MIMO radar," IEEE Trans. Signal Process., Vol. 55, No. 8, 4151-4161, 2007.
doi:10.1109/TSP.2007.894398        Google Scholar

12. Bell, M. R., "Information theory and radar waveform design," IEEE Trans. Inf. Theory, Vol. 39, No. 5, 1578-1597, 1993.
doi:10.1109/18.259642        Google Scholar

13. He, Q., R. S. Blum, H. Godrich, and A. M. Haimovich, "Target velocity estimation and antenna placement for MIMO radar with widely separated antennas," IEEE J. Sel. Topics Signal Process., Vol. 4, No. 1, 79-100, 2010.
doi:10.1109/JSTSP.2009.2038974        Google Scholar

14. Godrich, H., A. M. Haimovich, and R. S. Blum, "Target localization accuracy gain in MIMO radar-based systems," IEEE Trans. Inf. Theory, Vol. 56, No. 6, 2783-2803, 2010.
doi:10.1109/TIT.2010.2046246        Google Scholar

15. Robey, F. C., S. Coutts, D. Weikle, J. C. McHarg, and K. Cuomo, "MIMO radar theory and experimental results," Proc. 38th Asilomar Conf. Signals, Syst. Comput., Vol. 1, 300-304, 2004.        Google Scholar

16. Nehorai, A. and E. Paldi, "Acoustic vector-sensor array processing," IEEE Trans. Signal Process., Vol. 42, 2481-2491, 1994.
doi:10.1109/78.317869        Google Scholar

17. Cover, T. M. and J. A. Thomas, Elements of Information Theory, Wiley, 1991.
doi:10.1002/0471200611

18. Johnson, D. H. and D. E. Dudgeon, Array Signal Proccesing: Concepts and Techniques, Prentice-Hall, 1993.

19. Telatar, I. E. and Europ. Trans. Telecomm., "Capacity of multi-antenna gaussian channels,", Vol. 10, No. 6, 585-595, 1999.        Google Scholar

20. Stoica, P., Y. Jiang, and J. Li, "On MIMO channel capacity: An intuitive discussion," IEEE Signal Process. Mag., Vol. 24, No. 3, 83-84, 2005.
doi:10.1109/MSP.2005.1425912        Google Scholar

21. Horn, R. A. and C. R. Johnson, Matrix Analysis, Cambridge Univ. Press, 1985.

22. Boyd, , S. and L. Vandenberghe, Convex Optimization, Cambridge University Press, 2004.

23. Bliss, D. W., K. W. Forsythe, A. O. Hero, and A. F. Yegulalp, "Environmental issues for MIMO capacity," IEEE Trans. Signal Process., Vol. 50, No. 9, 2128-2142, 2002.
doi:10.1109/TSP.2002.801914        Google Scholar