In this paper we formalizes a new discrete time model of digital array based MIMO radar in which the combined effects of the transmit filter, physical MIMO multi-path channel fading, and receive filter. It has the same sampling period as that of the MIMO receiver. Apart from this, SNR value and target detection are different in compared to the continuous domain nature. Orthogonality is introduced using OSTBC (orthogonal space time coding) including interelement spacing at the transmitter is greater than the target beam width coverage. For space and temporal diversity we have considered distributed source model. and modulation schemes respectively. Frequency diversity is achieved using N point IFFT (N = 32, 64, 256, 1024) at the base band. Thus, three dimensional analysis with respect to diversity and selective nature of fading channel in digital array based MIMO radar are now used for performance analysis based on probability of detection, symbol error rate, model error, power spectral density at the receiver and SNR value at the detector.
2. Foschini, G. J. and M. J. Gans, "On the limits of wireless communications in a fading environment when using multiple antennas," Wireless Pers. Commun., Vol. 6, 311-335, 1998.
3. Fishler, E., A. Haimovich, R. Blum, L. Cimini, D. Chizhik, and R. Valenzuela, "MIMO radar: An idea whose time has come," Proc. ofthe IEEE Int. Conf. on Radar, Philadelphia, PA, April 2004.
4. Fishler, E., A. Haimowich, R. Blum, L. Cimini, D. Chizhik, and R. Valenzuela, "Statistical MIMO radar," 12th Conf. in Adaptive Sensor Array Processing, 2004.
5. Khan, H. A., D. J. Edwards, W. Q. Malik, and C. J. Stevens, "Ultra wideband multiple-input multiple-output radars," IEEE International Radar Conference, Arlington, Virginia, USA, 2005.
6. Johnson, D. and D. Dudgeon, Array Signal Processing, Prentice-Hall, Englewood Cliffs, NJ, 1993.
7., "Radio transmission and reception," ETSI. GSM 05.05, ETSI EN 300 910 V8.5.1, 2000.
8., "Selection procedure for the choice of radio transmission technologies of UMTS," UMTS, UMTS 30.03 version 3.2.0 ETSI, 1998.
9. Chuah, C. N., D. N. C. Tse, J. M. Kahn, and R. A. Valenzuela, "Capacity scaling in MIMOwireless systems under correlated fading," IEEE Trans. Inform. Theory, Vol. 48, 637-650, Mar. 2002.
10. Loyka, S. and A. Kouki, "New compound upper bound on MIMO channel capacity," IEEE Commun. Lett., Vol. 6, 96-98, Mar. 2002.
11. Abdi, A. and M. Kaveh, "A space-time correlation model for multielement antenna systems in mobile fading channels," IEEE J. Select. Areas Commun., Vol. 20, 550-560, Apr. 2002.
12. Jeruchim, M. C., P. Balaban, and K. S. Shanmugan, Simulation of Communic ation Systems: Modeling, Methodology, and Techniques, 2nd edition, Kluwer, Berlin, Germany, Berlin, Germany, 2000.
13. Woodward, P. M., Probability and Information Theory with Application to Radar, Artech House, MA, 1953.
14. Xiao, C., et al., "A discrete-time model for triply selective MIMO rayleigh fading channels," IEEE Transactions on Wireless Communications, Vol. 3, No. 5, September 2004.
15. Bello, P. A., "Characterization of randomly time-variant linear channels," IEEE Trans. Commun. Syst., Vol. 11, 360-393, Dec. 1963.
16. Parsons, J. D., The Mobile Radio Propagation Channel, 2nd edition, Wiley, New York, 2000.
17. Reed, J. H., "Software radio — A modern approach to radio engineering," Smart Antenna, Chapter 6, Pearson Education, 2006.
18. Sarkar, T. K., M. C. Wicks, M. Salazar-Palma, and R. J. Bonneau, Smart Antennas, Wiley Series in Microwave and Optical Engineering, 2003.
19. Liberti, J. and T. S. Rappaport, Smart Antennas for Wireless Communications: IS-95 and Third Generation CDMA Applications, Prentice Hall Communication Engineering & Emerging Technologies Series.