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一種改進的限幅濾波降低PAPR算法

發(fā)布時間:2019-01-04 16:23
【摘要】:針對傳統(tǒng)正交頻分復用降低峰均功率比算法計算復雜度較高,失真比較嚴重的問題,提出了一種改進的限幅濾波算法,該算法將正交頻分復用信號劃分為奇信號與偶信號來分別進行限幅濾波操作.仿真結(jié)果表明,與傳統(tǒng)的限幅濾波算法相比,該算法在降低峰均功率比(PAPR)的同時,具有較低的計算復雜度,同時能較好地濾除帶外干擾,顯著提高系統(tǒng)的誤碼率的性能.
[Abstract]:Aiming at the problem of high computational complexity and serious distortion of traditional orthogonal frequency division multiplexing (OFDM) algorithm to reduce PAPR, an improved amplitude limiting filtering algorithm is proposed. The orthogonal frequency division multiplexing (OFDM) signal is divided into odd signal and even signal. The simulation results show that compared with the traditional amplitude limiting filtering algorithm, the proposed algorithm has lower computational complexity while reducing the peak-to-average power ratio (PAPR), at the same time, it can filter out the out-of-band interference and significantly improve the performance of the system's bit error rate (BER).
【作者單位】: 華北電力大學電氣與電子工程學院;北京交通大學電子信息工程學院;
【基金】:國家自然科學基金項目(51274018,61302106) 國家科技支撐計劃項目(2013BAK06B03) 中央高;究蒲袠I(yè)務費專項資金資助項目(2014MS100)
【分類號】:TN919.3
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本文編號:2400516

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