ADAPTIVE SNAPSHOT TECHNIQUE FOR DOA FINDER
Keywords:
Direction finding, array antennas processing, DOA estimation, wireless communicationsAbstract
Direction of arrival (DOA) estimation is an important topic for a wireless communication area. So far, the multiple signal classification (MUSIC) algorithm is the most popular one in the field ofDOA estimation because it is noticeably simple but effective. However, the resolution becomes low when the number of snapshots is not appropriate for the received signal power. Therefore, this paper proposesan adaptive snapshot technique to solve the aforementioned problem. The idea is tohave a DOA finder which is able to adapt the snapshot numbers according to the received power to maintain the accuracy of the DOA estimation. A DOA finder prototype is also constructed to validate the proposed idea.
References
Abdallah, A., Chahine, S.A., Rammal, M., Neveux, G., Vaudon, P., and Campovecchio, M. (2006). A smart antenna simulation for (DOA) estimation using MUSIC and ESPRIT algorithms. Proceedings of the 23rd National Radio Science Conference; March 14-16, 2006; Menoufiya, Egypt, p. 1-10.
Alexiou, A. and Haardt, M. (2004). Smart antenna technologies for future wireless systems: trends and challenges. IEEE Commun. Mag., 42:90-97.
Bo, W. (2006). Realization and simulation of DOA estimation using MUSIC algorithm with uniform circular arrays. Proceedings of the 4th Asia-Pacific Conference on Environmental Electromagnetics; August 1-4,2006; Dalian, China, p. 908-912.
Fredrick, J.D., Wang, Y., and Itoh, T. (2002). A smart antenna receiver array using a single RF channel and digital beamforming. IEEE T. Microw. Theory, 50(12):3052-3058.
Hong, Z. (2005). MUSIC Algorithm and Direction of Arrival Estimation. Sichuan University. 04. 2005.
Jeon, S.S., Wang, Y., Qian, Y., and Itoh, T. (2002). A novel smart antenna system implementation for broad-band wireless communications. IEEE T. Antenn. Propag., 50(5):600-606.
Kaveh, M. and Barabell, A.J. (1986). The statistical performance of the MUSIC and the minimum-norm algorithms in resolving plane waves in noise. IEEE T. Acoust. Speech, 34(2):331-341.
Liberti, J.C. and Rappaport, T.S. (1999). Smart Antenna for Wireless Communications: IS-95 and Third Generation CDMA Applications. Prentice Hall, Upper Saddle River, NJ, USA, 400p.
Roy, R. and Kailath, T. (1989). ESPRIT-Estimation of signal parameters via rotational invariance techniques. IEEE T. Acoust. Speech, 37(7):984-995.
Srinivas, K.R. and Reddy, V.U. (1994). Finite data performance of MUSIC and minimum norm methods. IEEE T. Aero. Elec. Sys., 30(1):161-174.
Winters, J.H. (2004). Smart antenna technologies and their application to wireless ad hoc networks. IEEE Wirel. Commun., 13(4):77-83.
Xin, J. and Sano, A. (2004). Computationally efficient subspace-based method for direction-of-arrival estimation without eigendecomposition. IEEE T. Signal Proces., 52(4):876-893.
Ye, Z., Xiang, L., and Xu, X. (2007). DOA estimation with circular array via spatial averaging algorithm. IEEE Antenn. Wirel. Pr., 6:74-76.
Zhang, W. and Xi, X. (2007). Analysis and simulation of the direction of arrival estimation algorithm of spatial signal.Proceedings of the 8th International Conference on Electronic Measurement and Instruments; August 16-18, 2007; Xian, China, p. 2-576 - 2-579.
