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Please use this identifier to cite or link to this item: http://dspace.library.iitb.ac.in/jspui/handle/10054/446

Title: Minimum probability of error based prefiltering for DS-CDMA systems
Authors: GARG, MOHIT
KANNAN, G
MERCHANT, SN
DESAI, UB
Keywords: fir filters
code division multiple access
error statistics
mean square error methods
spread spectrum communication
Issue Date: 2006
Publisher: IEEE
Citation: Proceedings of the IEEE Mountain Workshop on Adaptive and Learning Systems, Logan, USA, 24-26 July 2006, 116-121
Abstract: In order to reduce the complexity of the mobile receiver, we develop two prefilter models using a linear FIR prefilter for minimizing the Probability of Error (MPOE) in Multi-user transmission scenario. We consider downlink transmission. In the first system model we have single common prefilter for all users at the base station transmitter and in the second prefilter design model we consider individual prefilter for each and every user. We assume complete knowledge of the channel at the base station. In order to fully utilise the knowledge available at the transmitter, the filter weights are computed conditioned on the transmitted bit vector sequence. This also makes the computation of the optimal coefficients linear in the number of users as opposed to the exponential complexity otherwise. Weights of FIR prefilter are computed by minimizing the conditional Probability of Error and the Mean Square Error (MMSE). Simulation results are provided to illustrate the performance of the system model.
URI: 10.1109/SMCALS.2006.250701
http://hdl.handle.net/10054/446
http://dspace.library.iitb.ac.in/xmlui/handle/10054/446
ISBN: 1-4244-0166-6
Appears in Collections:Proceedings papers

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