本文選題：誤碼率 + 凸優(yōu)化算法��； 參考：《電子科技大學(xué)學(xué)報(bào)》2017年01期

【摘要】：相比于功率峰均比(PAPR),立方度量能夠更加準(zhǔn)確地預(yù)測(cè)功放的功率回退量,因此被認(rèn)為是更有效的衡量正交頻分復(fù)用(OFDM)信號(hào)包絡(luò)變化的度量。為了提高功放效率,常用優(yōu)化方法是直接最小化信號(hào)的立方度量值。然而,這樣會(huì)引入嚴(yán)重的帶內(nèi)失真,造成系統(tǒng)誤碼率性能的惡化。該文提出了一種在立方度量值約束下最小化系統(tǒng)帶內(nèi)失真的凸優(yōu)化模型,并設(shè)計(jì)了內(nèi)點(diǎn)法定制方案求解此優(yōu)化問題。仿真結(jié)果顯示該算法相比現(xiàn)有優(yōu)化算法能夠顯著提高系統(tǒng)誤碼率及立方度量性能。
[Abstract]:Compared with PAPRN, the cubic metric can predict the power fallback more accurately, so it is considered to be a more effective measure to measure the envelope change of OFDM signals in orthogonal Frequency Division Multiplexing (OFDM). In order to improve the efficiency of power amplifier, the commonly used optimization method is to directly minimize the cubic measure of the signal. However, this will lead to serious intra-band distortion, resulting in the deterioration of the system bit error rate (BER) performance. In this paper, a convex optimization model is proposed to minimize the in-band distortion of the system under the constraint of cubic measures, and an interior point customization scheme is designed to solve the optimization problem. Simulation results show that the proposed algorithm can significantly improve the bit error rate (BER) and cubic metric performance compared with the existing optimization algorithm.
【作者單位】： 電子科技大學(xué)通信抗干擾技術(shù)國(guó)家級(jí)重點(diǎn)實(shí)驗(yàn)室;
【分類號(hào)】：TN92

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