Blind LTV shortening of doubly selective OFDM channels for UAS applications

被引:0
|
作者
Darsena, Donatella [1 ]
Gelli, Giacinto [2 ]
Verde, Francesco [2 ]
Iudice, Ivan [3 ]
机构
[1] Univ Parthenope Napoli, Dipartimento Ingn, Naples, Italy
[2] Univ Federico II Napoli, Dipartimento Ingn Elettr & Tecnol Informaz, Naples, Italy
[3] Italian Aerosp Res Ctr, Commun Syst Lab, Capua, CE, Italy
来源
2015 2ND IEEE INTERNATIONAL WORKSHOP ON METROLOGY FOR AEROSPACE (METROAEROSPACE) | 2015年
关键词
Basis expansion model (BEM); channel shortening; frequency-shift (FRESH) filtering; linear time-varying (LTV) equalization; orthogonal frequency-division multiplexing (OFDM); unmanned aircraft systems (UASs); EQUALIZATION;
D O I
暂无
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
This paper deals with the synthesis of a blind channel shortening algorithm for orthogonal frequency-division multiplexing (OFDM) systems operating over doubly selective wireless channels, a challenging scenario that is likely to happen in modern unmanned aircraft systems (UASs) data links. When the length of the OFDM cyclic prefix (CP) is smaller than the channel order, we propose to employ a blind linear time-varying (LTV) time-domain equalizer, which shortens the channel impulse response of the channel in the minimum mean-output energy (MMOE) sense, requiring only estimation of the second-order statistics of the received data. The equalizer design leverages on the complex-exponential (CE) basis expansion model (BEM) for the doubly selective channel, which naturally leads to a frequency-shift (FRESH) filter implementation. Monte Carlo computer simulations are carried out to assess the effectiveness of the proposed FRESH-MMOE channel shortener.
引用
收藏
页码:557 / 561
页数:5
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