發(fā)布時(shí)間：2018-05-05 09:52

  本文選題：G無(wú)線網(wǎng)絡(luò) + 信號(hào)定位　； 參考：《計(jì)算機(jī)工程與設(shè)計(jì)》2017年11期

【摘要】：為解決當(dāng)前5G無(wú)線網(wǎng)絡(luò)中高速移動(dòng)節(jié)點(diǎn)信號(hào)定位不準(zhǔn)確和高穩(wěn)定分布噪聲(high stable distribution noise,HSDN)等特殊偏移噪聲降低定位準(zhǔn)確性的問(wèn)題,提出基于電控旋轉(zhuǎn)序列位移接收結(jié)構(gòu)的5G無(wú)線網(wǎng)絡(luò)信號(hào)定位算法。利用單一節(jié)點(diǎn)接收結(jié)構(gòu)及環(huán)接收結(jié)構(gòu)并采取分層方式,構(gòu)建電控旋轉(zhuǎn)序列位移接收結(jié)構(gòu);基于待定位信號(hào)與中央基站及各層接收節(jié)點(diǎn)之間的切線關(guān)系,初步估計(jì)待測(cè)信號(hào)方位;針對(duì)信號(hào)發(fā)射環(huán)境中的HSDN噪聲頻率漂移特性,通過(guò)信號(hào)定位差分機(jī)制,聯(lián)合最優(yōu)極大似然估計(jì),構(gòu)建基于差分方式的方位角精度優(yōu)化機(jī)制,降低定位誤差。仿真結(jié)果表明,與采取單一節(jié)點(diǎn)接收方式的GDAM算法及采取單層環(huán)接收方式的NUPOS-1算法相比,在HSDN噪聲干擾環(huán)境下,該算法具有更低的信號(hào)定位誤差。
[Abstract]:In order to solve the problems of inaccurate location of high-speed mobile node signal in 5G wireless network and high stable distributed noise, such as high stable distribution distribution HSDN, the location accuracy is reduced. A 5 G wireless network signal location algorithm based on electrically controlled rotation sequence displacement receiver structure is proposed. The single node receiving structure and the ring receiving structure are used to construct the electronic control rotation sequence displacement receiving structure, based on the tangent relation between the signal to be located and the central base station and the receiving nodes of each layer, the signal orientation is estimated preliminarily. Aiming at the characteristic of HSDN noise frequency drift in the environment of signal transmission, the azimuth precision optimization mechanism based on differential mode is constructed through signal location difference mechanism and combined optimal maximum likelihood estimation to reduce the positioning error. The simulation results show that compared with the single node receiving GDAM algorithm and the single layer ring receiving NUPOS-1 algorithm, the algorithm has lower signal localization error under the HSDN noise interference environment.
【作者單位】： 長(zhǎng)江大學(xué)工程技術(shù)學(xué)院;海南大學(xué)信息科學(xué)技術(shù)學(xué)院;
【基金】：國(guó)家自然科學(xué)基金項(xiàng)目(61162010) 海南省自然科學(xué)基金項(xiàng)目(614229) 海南省重點(diǎn)研發(fā)基金項(xiàng)目(ZDYF2016153) 長(zhǎng)江大學(xué)工程技術(shù)學(xué)院基金項(xiàng)目(2016KY13)
【分類號(hào)】：TN929.5

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本文編號(hào)：1847222