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CLC number: TN929.5

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Received: 2003-09-18

Revision Accepted: 2003-12-29

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Journal of Zhejiang University SCIENCE A 2004 Vol.5 No.11 P.1428~1423

http://doi.org/10.1631/jzus.2004.1418


A modified multitarget adaptive array algorithm for wireless CDMA system


Author(s):  LIU Yun-hui, YANG Yu-hang

Affiliation(s):  Department of Electronic Engineering, Shanghai Jiaotong University, Shanghai 200030, China

Corresponding email(s):   yhliu0819@hotmail.com

Key Words:  Smart antenna, Code division multiple access (CDMA), Minimum bit error rate (MBER), Near-far effect


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LIU Yun-hui, YANG Yu-hang. A modified multitarget adaptive array algorithm for wireless CDMA system[J]. Journal of Zhejiang University Science A, 2004, 5(11): 1428~1423.

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Abstract: 
The paper presents a modified least squares despread respread multitarget constant modulus algorithm (LS-DRMTCMA). The cost function of the original algorithm was modified by the minimum bit error rate (MBER) criterion. The novel algorithm tries to optimize weight vectors by directly minimizing bit error rate (BER) of code division multiple access (CDMA) mobile communication system. In order to achieve adaptive update of weight vectors, a stochastic gradient adaptive algorithm was developed by a kernel density estimator of possibility density function based on samples. Simulation results showed that the modified algorithm remarkably improves the BER performance, capacity and near-far effect resistance of a given CDMA communication system.

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Reference

[1] Agee, B., 1989. Blind separation and capture of communication signals using a multitarget constant modulus beamformer. Proceedings of the IEEE Military Communications Conference, 19(2):1-7.

[2] Bellofiore, S., 2002. Smart-antenna systems for mobile communication networks part 2: beam-forming and network throughput. IEEE Antenna’s and Propagation Magazine, 44(4).

[3] Chen, S., Samingan, A.K., Mulgrew, B., 2001. Adaptive Minimum-BER Linear Multiuser Detection for DS-CDMA Signals in Multipath Channels. IEEE Transactions on Signal Processing, 49(6):1240-1247.

[4] Chen, S., Ahmad, N.N., Hanzo, L., 2003. Adaptive minimum bit error rate beamforming assisted receiver for wireless communications. IEEE International Conference on Acoustics, Speech and Signal Processing, 4:640-643.

[5] Godara, L.C., 1997. Applications of antenna arrays to mobile communications, part II: beam-forming and direction-of-arrival considerations. Proceedings of the IEEE, 85(8):1195-1245.

[6] Haardt, M., Spencer, Q., 2003. Smart antennas for wireless communications beyond the third generation. Computer Communications, 26:41-45.

[7] Liberti, J.C., Rappaport, T.S., 2002. Smart Antenna for Wireless Communications IS-95 and Third Generation CDMA Applications. China Machine Press, Beijing, China, p.159-186.

[8] Parzen, E., 1962. On estimation of a probability density function and mode. Annals of Mathematical Statistics, 33:1065-1076.

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