發(fā)布時(shí)間：2018-03-27 14:29

  本文選題：全球定位系統(tǒng)　切入點(diǎn)：神經(jīng)網(wǎng)絡(luò)　出處：《西安電子科技大學(xué)學(xué)報(bào)》2017年06期

【摘要】：針對衛(wèi)星導(dǎo)航信號容易受到窄帶干擾影響而降低導(dǎo)航性能的問題,提出了一種基于神經(jīng)網(wǎng)絡(luò)的全球定位系統(tǒng)接收機(jī)抗干擾方法.該方法通過自適應(yīng)陷波器與反向傳播神經(jīng)網(wǎng)絡(luò)級聯(lián),利用二階格型無限脈沖響應(yīng)自適應(yīng)陷波器濾除帶外干擾,再結(jié)合反向傳播神經(jīng)網(wǎng)絡(luò)預(yù)測器來估計(jì)并消除干擾.從捕獲衛(wèi)星數(shù)、信噪比提升值和迭代次數(shù)對算法性能進(jìn)行仿真比較,結(jié)果表明,文中方法可有效抑制窄帶干擾,并且有更強(qiáng)的抗窄帶能力、更快的收斂速度.
[Abstract]:In view of the problem that satellite navigation signal is vulnerable to narrowband interference and reduces navigation performance, An anti-jamming method for GPS receiver based on neural network is proposed, in which adaptive notch filter and backpropagation neural network are used to filter out out-of-band interference by using second-order latticed infinite impulse response adaptive notch filter. Then the backpropagation neural network predictor is used to estimate and eliminate the interference. The performance of the algorithm is simulated and compared from the number of captured satellites, the increase of SNR and the number of iterations. The results show that the proposed method can effectively suppress narrowband interference. And has stronger ability to resist narrow band, faster convergence speed.
【作者單位】： 西北工業(yè)大學(xué)電子信息學(xué)院;
【基金】：國家自然科學(xué)基金資助項(xiàng)目(61571370)
【分類號】：P228.4;TP183
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本文編號：1671911