基于Kronecker積的無線通信系統(tǒng)參量分離方法
發(fā)布時(shí)間:2018-07-01 12:57
本文選題:無線信道 + 功率放大器非線性。 參考:《電訊技術(shù)》2017年10期
【摘要】:針對(duì)無線通信系統(tǒng)中發(fā)射機(jī)非線性與多徑衰落信道問題,提出了一種根據(jù)接收無線信號(hào)聯(lián)合估計(jì)無線設(shè)備功率放大器(PA)非線性與無線信道單位脈沖響應(yīng)的方法。首先,根據(jù)通信幀訓(xùn)練符號(hào)及發(fā)射機(jī)非線性模型構(gòu)造卷積矩陣;接著,采用一次最小二乘(LS),根據(jù)接收信號(hào)估計(jì)PA的非線性模型系數(shù)與實(shí)際發(fā)送符號(hào);然后,再采用一次LS,得到無線信道的單位脈沖響應(yīng)估計(jì);兩估計(jì)可迭代或直接加取平均進(jìn)行積累。理論推導(dǎo)與實(shí)驗(yàn)結(jié)果顯示,采用過采樣技術(shù),所提方法可應(yīng)用于單載波或多載波通信,實(shí)現(xiàn)PA非線性與無線信道單位脈沖響應(yīng)的有效分離。新方法在無線通信的物理層射頻指紋認(rèn)證與信號(hào)可靠傳輸中具有應(yīng)用價(jià)值。
[Abstract]:Aiming at the problem of transmitter nonlinearity and multipath fading channel in wireless communication system, a joint estimation method of wireless device power amplifier (PA) nonlinearity and wireless channel unit pulse response based on received wireless signal is proposed. Firstly, the convolution matrix is constructed according to the training symbol of communication frame and the nonlinear model of transmitter. Then, the nonlinear model coefficient of PA and the actual transmission symbol are estimated according to the received signal by using the first order least square (LS). The unit impulse response estimation of the wireless channel can be obtained by using LSs again, and the two estimators can be accumulated by iterating or adding average directly. The theoretical derivation and experimental results show that the proposed method can be applied to single-carrier or multi-carrier communication using over-sampling technique, which can effectively separate PA nonlinearity from radio channel unit pulse response. The new method has the application value in the physical layer RF fingerprint authentication and the signal reliable transmission of wireless communication.
【作者單位】: 南通大學(xué)電子信息學(xué)院;
【基金】:國(guó)家自然科學(xué)基金資助項(xiàng)目(61371111) 交通運(yùn)輸部應(yīng)用基礎(chǔ)研究項(xiàng)目(2012-319-813-270) 江蘇政府留學(xué)獎(jiǎng)學(xué)金(University of Kent)項(xiàng)目
【分類號(hào)】:TN92
【相似文獻(xiàn)】
相關(guān)碩士學(xué)位論文 前2條
1 李建證;3D MIMO Kronecker及Weichselberger信道建模方法研究[D];南京郵電大學(xué);2016年
2 左功玉;基于Kronecker積的壓縮感知雷達(dá)成像方法研究[D];西安電子科技大學(xué);2015年
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