標題: ML solutions for resolving frequency ambiguity in OFDM systems
作者: Yu, JH
Jiang, JS
Su, YT
電信工程研究所
Institute of Communications Engineering
關鍵字: orthogonal frequency division multiplexing (OFDM);frequency estimation
公開日期: 2005
摘要: The conventional approach for compensating the carrier frequency offset (CFO) of OFDM signals is to estimate the fractional part of the CFO first and then resolve the remaining ambiguity, if exists, by locating the integer part. This paper gives a systematic derivation of the maximum likelihood (ML) integer CFO estimate, that takes into account the effects of channel fading and residual fractional CFO, unifying various earlier proposals. As the complexity of the resulting ML estimate is relatively high, we also suggest various near-optimal and suboptimal combinations and examine their performance. It is shown that, with judicious choice of the component terms of the ML estimate, one can obtain low-complexity integer CFO estimates with excellent performance even in the presence of highly frequency-selective fading.
URI: http://hdl.handle.net/11536/17828
ISBN: 0-7803-9305-8
期刊: 2005 International Conference on Wireless Networks, Communications and Mobile Computing, Vols 1 and 2
起始頁: 123
結束頁: 128
Appears in Collections:Conferences Paper