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Joint Weighted Least-Squares Estimation of CFO and Timing Offset for OFDM Systems Over Multipath Fading Channels. 指導教授:高永安 學 生:蘇家弘.
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Joint Weighted Least-Squares Estimation of CFO and Timing Offset for OFDM Systems Over Multipath Fading Channels 指導教授:高永安 學 生:蘇家弘
P. Y. Tsai, H. Y. Kang, T. D. Chiueh, ” Joint Weighted Least-Squares Estimation of Carrier-Frequency Offset and Timing Offset for OFDM Systems Over Multipath Fading Channels,” IEEE Trans. VTC, vol. 54, NO. 1, Jan. 2005.
OFDM signal with synchronization errors • N-th time domain sample of the i-th transmitted symbol can be expressed as • Ng : Cyclic Prefix • Ts : sample interval • Ak,i : k-th complex data of the i-th symbol
Multipath fading channel with a channel impulse response • Received signal is presented as • Δf : CFO • δTs : SFO
The received complex frequency domain data on the k-th subcarrier of the i-th symbol Zk,i as Normalized CFO ε= Δf *T
Zk,i is further decomposed into three components, signal term Sk,i ; interference term Ik,i ; noise term Vk,i • Magnitude attenuation function
Signal term • ICI term Small ε and δ
When both CFO and SFO are present • Consequently, Sk,i/Hk will be shifted in phase by
Weighted Least Squares(WLS) • Assume J pilots are inserted among N subcarriers denoted by xj ,j=0,1…,J-1. Pilot data are differentially encoded with PN-sequence Cxj,i ={+1,-1} and Axj,i=Axj,i-1Cxj,I • The averaged phase difference between two consecutive OFDM symbols at the receiver arg(.) is the phase of its argument and summation
Vector form is • where y=Xb+e y=[y0y1… yJ-1]T e=[e0e1… eJ-1]T
Assume the channel is stationary during these symbols; the WLS estimate of b is given • The estimated CFO and SFO can be obtained by
If we assume that the error vector e is zero mean, the WLS estimation is • The covaricance matrix of the estimation error becomes