本文選題：分?jǐn)?shù)時(shí)延 + 正交頻分復(fù)用�。� 參考：《電子測量與儀器學(xué)報(bào)》2017年05期

【摘要】：基于壓縮感知(compressed sensing,CS)技術(shù)的信道估計(jì)方法已被應(yīng)用于正交頻分復(fù)用(orthogonal frequency division multiplexing,OFDM)系統(tǒng)的信道估計(jì)中以提高頻譜利用率。然而,傳統(tǒng)的時(shí)域普通采樣方法會(huì)導(dǎo)致信道測量矩陣不夠精細(xì),無法精確恢復(fù)信道狀態(tài)信息。針對(duì)這一問題,提出利用分?jǐn)?shù)時(shí)延信道模型模擬系統(tǒng)的無線多徑信道,利用接收端時(shí)域過采樣方法細(xì)化信道測量矩陣以提高信道估計(jì)精度。同時(shí),為了克服由時(shí)域過采樣導(dǎo)致的算法復(fù)雜度增加的問題,提出一種改進(jìn)正交匹配追蹤算法(modified orthogonal matching pursuit,MOMP)。仿真實(shí)驗(yàn)結(jié)果表明,在分?jǐn)?shù)時(shí)延信道條件下,提出的接收端時(shí)域過采樣方法能準(zhǔn)確檢測到信道的分?jǐn)?shù)時(shí)延且提出的MOMP算法能顯著降低估計(jì)算法的計(jì)算復(fù)雜度。
[Abstract]:The channel estimation method based on compressed sensing CS technology has been applied to the channel estimation of orthogonal frequency division multiplexing (orthogonal frequency division) systems to improve the spectral efficiency. However, the conventional time domain sampling method will lead to the channel measurement matrix is not precise enough to accurately restore the channel state information. To solve this problem, a fractional delay channel model is proposed to simulate the wireless multipath channel. The channel measurement matrix is refined by time-domain oversampling at the receiver to improve the channel estimation accuracy. At the same time, in order to overcome the complexity problem caused by oversampling in time domain, an improved orthogonal matching tracking algorithm (modified orthogonal matching pursuit mop) is proposed. The simulation results show that the proposed time domain oversampling method can accurately detect the fractional delay of the channel and the proposed MOMP algorithm can significantly reduce the computational complexity of the estimation algorithm.
【作者單位】： 湖南大學(xué)電氣與信息工程學(xué)院;
【基金】：中央國有資本經(jīng)營預(yù)算項(xiàng)目(財(cái)企[2013]470號(hào)) 中央高�；究蒲许�(xiàng)目(2014-004) 國家自然科學(xué)基金(61540012) 中國博士后科研基金(2014M562100) 湖南省科技計(jì)劃重點(diǎn)項(xiàng)目(2015JC3053) 教育部產(chǎn)學(xué)合作協(xié)同育人項(xiàng)目(201601004010)資助
【分類號(hào)】：TN911.7

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本文編號(hào)：2061131