Blind Sequential Monte Carlo Joint Tracking of Channel State and Frequency Offset in OFDM Systems

被引:0
|
作者
Palamides, Alex P. [1 ]
Maras, Andreas M. [2 ]
机构
[1] Technol Educ Inst Piraeus, Dept Elect Comp Syst Engn, Athens 12244, Greece
[2] Univ Peloponnese, Dept Telecommun Sci & Technol, Tripolis 22100, Greece
关键词
OFDM; Sequential Monte Carlo; Extended Kalman Filter; Channel estimation; Carrier frequency offset; ESTIMATOR;
D O I
10.1007/s11277-009-9793-1
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
Orthogonal frequency division multiplexing (OFDM) is a multi-carrier modulation scheme, which has been adopted for several wireless standards. In order to fully exploit the benefits of an OFDM system, estimation of the channel state information must be performed. Moreover a well-known problem of OFDM is its sensitivity to frequency offset between the transmitted and received carrier frequencies. This frequency offset introduces inter-carrier interference in the OFDM signal. In this paper we address the problem of jointly tracking the channel and frequency offset based on a Sequential Monte Carlo filtering approach. The proposed algorithm works in a decision-directed way, thus does not require the use of pilot symbols, providing a worth-mentioned increase in the useful data rate. Through simulations we demonstrate the efficiency of this approach against a similar approach where the Extended Kalman Filter is used. Moreover our method is compared with two recently proposed pilot-based methods.
引用
收藏
页码:163 / 171
页数:9
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