Research on ICI Cancellation in OFDM Systems
|School||Nanjing University of Posts and Telecommunications|
|Course||Communication and Information System|
|Keywords||OFDM Inter-carrier interference ICI Subcarrier allocation Inter-symbol interference Carrier frequency offset Deviation Multipath fading Orthogonal Frequency Division Multiplexing The signal to interference noise ratio Mobile Communications Spectrum utilization Sender Second-order polynomial Suppression technology Window parameter Cyclic prefix Fading channel Bit error rate Coding algorithm|
Orthogonal Frequency Division Multiplexing ( Orthogonal Frequency Division Multiplexing , OFDM) technique is considered a key technology in the next - generation high - speed wireless communication system , which can effectively resist the multipath caused by inter-symbol interference (ISI) and multipath fading , frequency selective fading channel into a number of frequency selective fading channel . The OFDM in asymmetric digital subscriber line ( ADSL ) , digital audio / video broadcasting (DAB / DVB) and wireless local area network system has been adopted . Constraints OFDM technology in the mobile communication in practical applications and one of the factors is very sensitive to its the transceiver carrier frequency offset , which will cause inter carrier interference (ICI), thereby increasing the bit error rate ( BER ) of the receiving end . This paper proposes a new time domain (Nyquist) , second-order polynomial Nyquist window, for suppressing the orthogonal frequency division multiplexing frequency offset caused by the receiving end in the system of inter-carrier interference , and analyzes the receiving end signal-to-interference noise ratio ( SINR) and bit error rate (BER). , So that the receiving end of the SINR is maximized , which has the best reception performance by selecting the best window parameter . Proved superior to the performance of this new second-order polynomial window liter cosine window function and \Another study by the ICI self-cancellation coding theory , since the original ICI to eliminate coding algorithm based on an improved ICI self-cancellation coding algorithm , the results show that this method can get better results . Further, since only the signal processing at the transmitting end , the performance did not decline under the conditions of reducing the complexity of the receiving end .