Performance Evaluation Of Least Mean Square Error (lms) And Blind Adaptive Algorithm In Suppressing Multiple Access Interference In Cdma Receiver

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Direct sequence code division multiple access (DS-CDMA) is a high capacity air interface asrncompared to time division multiple access (TDMA) and frequency division multiple accessrn(FDMA). This system is more resistant to jamming and unintended listener. In this accessrntechnique more than one user access the same frequency band width at the same time. The mainrnlimitation of this system is that, the signal quality of the intended user degrades as the number ofrnusers increases that result in multiple access interferences (MAI).rnSo, in this thesis adaptive algorithms are used in CDMA receiver for suppressing multiple accessrninterference (MAI). Two families of adaptive algorithms namely, least mean square error (LMS)rnand constant modulus blind adaptive algorithms are used. The schematic representation of eachrnof the two algorithm receiver is developed, and on which the simulation analysis was based. ThernLMS adaptive algorithm requires training sequences for its adaptation where as the later does notrnrequire any training sequences, instead needs appropriate initialization of tap weights. Thernperformance of these adaptive algorithms in suppressing multiple access interference (MAI) wasrnfound to outperform matched filter receiver but they performs less than decorrelating detectorrnreceivers. From the simulation result the decorrelating detector achieve 10-2 BER around 10.5dBrnSNR whereas LMS and CMA achieve this BER around 12.5dB and 16dB SNR respectively. Thernmatched filter cannot achieve this BER within 20dB SNR. From the result we can deduce thatrndecorrelating detector is an optimal receiver that almost eliminates multiple access interference.rnIn addition to this it was found that the BER performance of LMS receiver is much better thanrnthe CMA receiver.rnIt was also shown that under perfect synchronization Walsh-Hadamard sequence can completelyrneliminate MAI due to their orthogonal nature. As the spreading gain of the spreading codes isrnhigher, their ability to reduce MAI also increases which is at the cost of band width.rnKey Words: CDMA, LMS algorithm, CMA, decorrelating detector, matched filter receiver

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Performance Evaluation Of Least Mean Square Error (lms) And Blind Adaptive Algorithm In Suppressing Multiple Access Interference In Cdma Receiver

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