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Transactions: WSEAS TRANSACTIONS ON COMMUNICATIONS
Transactions ID Number: 53-642
Full Name: Komal Babbar
Position: Student
Age: ON
Sex: Female
Address: PEC University of Technology, Sector-12, Chandigarh-160012
Country: INDIA
Tel: 00919915121770
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E-mail address: er.komalbabbar@gmail.com
Other E-mails: komal_425@yahoo.co,in
Title of the Paper: Error probability of Linear and Adaptive Linear Multi-user detection
Authors as they appear in the Paper: MS, KOMAL BABBAR, Ms. AMITA SONI
Email addresses of all the authors: er.komalbabbar@gmail.com,soniamita2000@yahoo.com
Number of paper pages: 10
Abstract: Multiuser Detection is the intelligent estimation/demodulation of transmitted bits in the presence of Multiple Access Interference. The authors have presented the Bit-error rate (BER) achieved by linear multi-user detectors: Matched filter (which treats the MAI as AWGN), Decorrelating and MMSE. In this work authors investigate the bit error probability analysis for Matched filter, Decorrelating and MMSE. This problem arises in several practical CDMA applications where the receiver may not have full knowledge of the number of active users and their signature sequences. In particular the behavior of MAI at the output of the Multi-user detectors (MUD) is examined under various asymptotic conditions including: large signal to noise ratio; large near-far ratios; and large number of users. In the last section Authors also shows Matlab Simulation results for Multi-user detection techniques i.e., Matched filter, Decorrelating, MMSE for 2 users and 10 users.
Keywords: Code division multiple access, Decorrelating, Matched filter, Minimum mean square detection (MMSE) detection, multiple access interference (MAI), Multiuser Detection (MUD).
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