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Telecommunications and Radio Engineering
SJR: 0.202 SNIP: 0.2 CiteScore™: 0.23

ISSN 印刷: 0040-2508
ISSN オンライン: 1943-6009

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Telecommunications and Radio Engineering

DOI: 10.1615/TelecomRadEng.v76.i7.30
pages 591-605

ANALYSIS OF ICI CANCELLATION IN MC-CDMA SYSTEM USING SELF-CANCELLATION AND EXTENDED KALMAN FILTER METHOD

V. Noor Mohammed
VIT University, School of Electronics Engineering, Thiruvalam Road, Vellore 632 014, Tamil Nadu, India
M. Lakshmanan
VIT University, Vellore, India; Galgotias College of Engineering and Technology, Greater Noida 201 310, UP, India
S. K. Jayanth Prabu
VIT University, School of Electronics Engineering, Thiruvalam Road, Vellore 632 014, Tamil Nadu, India
S. Nandakumar
VIT University, School of Electronics Engineering, Thiruvalam Road, Vellore 632 014, Tamil Nadu, India
T. Velmurugan
VIT University, School of Electronics Engineering, Thiruvalam Road, Vellore 632 014, Tamil Nadu, India
M. Palanivelan
Rajalakshmi Engineering College, Chennai, Tamilnadu, India

要約

A Multi Carrier Code Division Multiple Access (MC-CDMA) system's performance can get degraded due to intercarrier interference (ICI). The Doppler frequency or frequency drift between transmitter and receiver causes frequency offset which in its turn leads to ICI. The objective of the paper is to reduce the ICI in the MC-CDMA system using ICI mitigation techniques. Here, we have employed two techniques. The first method is self-cancellation technique, this technique has data conversion, real constant weighted data conversion, plural weighted data conversion and weighted conjugate transformation methods. The second technique is Extended Kalman Filter (EKF) method in which the frequency offset is estimated and then corrected using an estimated value. The EKF is introduced first time in MC-CDMA for the reduction of ICI. The EKF is employed for different frequency offset values. The simulation shows that the interference reduced to certain extend in EKF method when compared to self-cancellation technique (EKF provides the better performance than the self-cancellation technique). This analysis carried out for intervals of Bit Error Rate (BER).


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