本文選題：通信技術(shù) + 變換域通信系統(tǒng)　； 參考：《吉林大學(xué)學(xué)報(bào)(工學(xué)版)》2014年05期

【摘要】：提出了一種現(xiàn)代互譜估計(jì)方法——基于互譜自回歸(AR)模型參數(shù)估計(jì)的SVD算法,相比作者之前提出的基于互譜AR模型參數(shù)估計(jì)的Levinson算法,本文提出的方法有效地克服了互相關(guān)函數(shù)rxy(m)估計(jì)誤差帶來(lái)的影響。仿真結(jié)果表明:譜估計(jì)精度有了很大提高。搭建了測(cè)量噪聲背景下的仿真平臺(tái),對(duì)基于該方法的變換域通信系統(tǒng)(TDCS)抗干擾性能進(jìn)行了仿真研究。結(jié)果表明:該方法下TDCS能夠有效地抑制測(cè)量噪聲,在不同干擾下的誤碼率大大降低,提高了抗干擾能力。
[Abstract]:In this paper, a modern cross-spectral estimation method-SVD algorithm based on cross-spectral autoregressive (AR) model parameter estimation is proposed, which is compared with Levinson algorithm based on cross-spectral AR model parameter estimation. The method proposed in this paper effectively overcomes the influence of rxy (m) estimation error of cross-correlation function. The simulation results show that the accuracy of spectral estimation has been greatly improved. The simulation platform of measurement noise is built, and the anti-jamming performance of transform Domain Communication system (TDCS) based on this method is simulated. The results show that TDCS can effectively suppress the measurement noise, reduce the bit error rate under different interference, and improve the anti-jamming ability.
【作者單位】： 吉林大學(xué)通信工程學(xué)院;
【基金】：吉林省博士后科研項(xiàng)目(RB201336)
【分類號(hào)】：TN911.23

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本文編號(hào)：2087676