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1、5G微帶陣列天線要求:利用介質(zhì)常數(shù)為2.2,厚度為1mm損耗角為0.0009的介質(zhì),設(shè)計(jì) 一個(gè)工作在5G的4X4的天線陣列。評(píng)分標(biāo)準(zhǔn):良:帶寬7%優(yōu):帶寬7%1效率大于60%1微帶輻射貼片尺寸估算設(shè)計(jì)微帶天線的第一步是選擇合適的介質(zhì)基板,假設(shè)介質(zhì)的介電常數(shù)為 。, 對(duì)于工作頻率f的矩形微帶天線,可以用下式設(shè)計(jì)出高效率輻射貼片的寬度 w 即為:式中,c是光速,輻射貼片的長度一般取為 八/2;這里Ke是介質(zhì)內(nèi)的導(dǎo)波 波長,即為:cf ;e考慮到邊緣縮短效應(yīng)后,實(shí)際上的輻射單元長度 L應(yīng)為:L =- 2 工 L2 f . ;e式中,e是有效介電常數(shù),AL是等效輻射縫隙長度。它們可以分別用下式 計(jì)算,

2、即為:.1r 1Jr 7h -;e = (1 12 ) 222 w(;e 0.3)(w/h 0.264)L 0.412h (;e 0.258)(w/h 0.8)2.單元的仿真由所給要求以及上述公式計(jì)算得輻射貼片的長度L=19.15mm,W=23.72mmfi用非輻射邊饋電方式,模型如圖1所示:圖1單元模型此種饋電方式,可以通過移動(dòng)饋電的位置獲得阻抗匹配,設(shè)饋電點(diǎn)距離上寬邊的偏移量為dx,經(jīng)仿真得到當(dāng)dx=4mn'M,阻抗匹配最好。另外,之前計(jì)算出 的尺寸得到的諧振點(diǎn)略有偏移,經(jīng)過仿真優(yōu)化后貼片尺寸變?yōu)?L=19mm,W=23.72mm&真結(jié)果圖如圖2,圖3所示。圖2 S11參數(shù)

3、10.00XY Plot 2HFSSDesignlANSOFT圖3增益圖從圖中可以看出諧振點(diǎn)為5GHz計(jì)算的相對(duì)帶寬為2.2%,增益為5.78dB2. 2X2陣列設(shè)計(jì)設(shè)計(jì)饋電網(wǎng)絡(luò)并組陣,模型圖如圖 4所示。圖4 2X2微帶天線陣列XY Plot 12HFSSDesignlANSOFTFreq GHz圖5 S11參數(shù)由S11參數(shù)可以看到2X2陣列天線諧振點(diǎn)為5GHz且此時(shí)的S11=-19dB,說明 反射損耗小,匹配良好。相對(duì)帶寬約為 2.8%。m1m2m4m3NameXY-1.000013,9625m2 -57.00003.3614m3 -90.0000 -8.5636XY Plot 13HFS

4、SDesign1 ansoftm4.0079,0000-6.8066a -10.00-40.00Curve Info dB(GainTotal)Setup1 : LastAdaptive Freq='5GHz' P hi='0deg' dB(GainTotal) Setup1 : LastAdaptive Freq='5GHz' P hi='90deg'-200.00-150.00-100.00-50.000.0050.00100.00150.00200.00Theta deg0.00 -20.00 -30.00 一Radiati

5、on Pattern 2HFSSDesignlANSOFTCurve InfodB(GainTotal)Setup1 : LastAdaptiveFreq='5GHz' P hi='0deg' dB(GainTotal)Setup1 : LastAdaptiveFreq='5GHz' P hi='90deg'圖6方向圖由方向圖可以看出2X2陣列天線的增益為13.96dB,第一副瓣電平為-10.6dB , 可知組陣能使天線的增益變高。3. 4 X 4陣列天線天線陣列如圖7所示:圖74 X4陣列天線XY Plot 6HFSSDesig

6、n1-10.00-12.50-15.00-17.50-20.00-22.50Freq GHzm0.00 4.9540-10.2723m25.0560-10.4730.一 dB(S(1,1)Setup1 : Sw eep dy='12mm'6 00圖8 S11參數(shù)NameXYm.00-3.000019.9638m232.00008.1731但0023.00006.8050XY Plot'SHFSSDesign1 叮m210.005.000.00-5.00-10.00-15.00-20.00-25.00pd- naBd-200.00-150.00-100.00-50.000

7、.00Theta deg50.00圖9方向圖Setup dx1 =Setup dx1 =100.00150.00200.00HFSSDesign1 ansoftCurve Info dB(GainTotal)Setup1 : LastAdaptivedx1='60mm' Freq='5GHz' P hi='0deg'dB(GainTotal)Setup1 : LastAdaptivedx1='60mm' Freq='5GHz' P hi='90deg'由S11參數(shù)圖可以看到諧振點(diǎn)在5GHz反射損耗較

8、小,帶寬約為2%由方向圖 可以看到增益約為19.96dB,第一副瓣電平為-11.79dB。參考文獻(xiàn)1 ITU Global Standard for International MobileTelecommunicationsS. IMT-Advanced,Circular letter, ITU-R March 2008.2 N. Takehiro, N. Satoshi, B. Anass Benjebbour, et al., Trends inSmall Cell Enhancementsin LTEAdvancedJ. IEEE Communications Magazine. Fe

9、b.2013,vo1.51,no.2, 98-105.3 O. Aliu,A. Imran, M. Imran, et al., A survey of self organization in future cellular networksJ.IEEE Communications, 2011, vo1.9,no.11,1-264 T.L. Marzetta, Noncooperative cellular wireless with unlimitednumbers of base station antennas J.IEEE Trans, Wireless Communication

10、s, Nov.2010, vo1.9, no.ll, 3590-3600,.5 J.Zhang, C.K. Wen,S. Jin, et al., Oncapacity of large-scale MIlVIO multiple access channels with distributed sets of correlated antennasJ. Areas Commun, Feb.2013,01.31,no.2, 133 148.6 H. Huh, G Caire, H.C. Papadopoulos, et al., Achieving Massive MIMO spectral

11、eiiciency with a not-so-large number of antennasJ.IEEE Trans. Wireless Communications,Sept.2012,vol.ll,no.9,3226-3239.7 J. Hoydis and M. Debbah, Green cost-eiective, flexible, small cell networksC.IEEE ComSoc MMTC E-Letter Special Issue on "Multimedia over Femto Cells" ,Sep.2010,vo1.5,no.5

12、.1-38 X. Gao, F. Tufvesson, O. Edfors, et al., Measured propagation characteristics for very-large MIMO at 2.6 GHzC. in Proc. of the 46th Annual Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, California, USA, Nov. 2012.9 G Caire, M. Debbah, Special Issue on Massive MIMOJ.Jour

13、nal of Communications and Networks, August 2013, Vol. 15, No. 4.10 C. Shepard, H. Yu, N. Anand, et al., Argos: Practical Many-Antenna Base StationsC. in Proc. ACMnt. Conf. Mobile Computing and Networking (MobiCom), Aug. 2012.11馮巖,SG研發(fā)爭(zhēng)分奪秒N.國家無線電監(jiān)測(cè)中心中國電子報(bào),2014年 2月21日第004版12 T. Truong, W.Robert, Jr.He

14、ath, Effects of Channel Aging in Massive MIMO SystemsJ. Journal of communications and networks, Aug. 2013,vo1.15, no. 4, 338-351.13 Kudo, R. Armour, McGeehan, et al. Channel State InformationFeedback Method for Massive MIMO-OFDMJ.Journal of communications and networks.Vo1.15, No.4,August 201314 Jung

15、, K. Minchae , L. Younsun , et al. Optimum Number of Users in Zero-Forcing Based Multiuser MIMO Systems with Large Number ofAntennasJ. Journal of communications and networks,August 2013.Vo1.15, No.415 Hakkarainen, A.Werner, J.Dandekar, et al. Widely-Linear Beamforming and RF Impairment Suppression i

16、n Massive Antenna ArraysJ. Journal of Communications and Networks, Aug. 2013, vol. 15, no. 4,383-397.16 T.L.Marzetta, Noncooperative cellular wireless with unlimited numbers of base station antennasJ.IEEE Trans.Signal Commun. Apr.2005, vo1.9,no.11,3590-3600.17 G Caire and S. Shamai,On the achievable

17、 throughput of a multi-antenna gaussian broadcast channelJ. IEEE Trans. Inf. Theory, 2003, 49(7),1691 1706.18 B. M. Hochwald, C. B. Peel, and A. L. Swindlehurst.A vector-perturbation technique for near-capacity multi antenna multiuser communication - Part II: PerturbationJ, IEEE Trans. Commun., 2005

18、, 53(3), 537-544.19 C. Windpassinger, R. F. H. Fischer, T. Vencel, et a1.Precoding in multi-antenna and multi-user communicationsJ. IEEE Trans.Wireless Commun.,2004,3,1305 1316.20 F. Rusek.Scaling up MIMO:opportunities and challenges with very large arraysJ. IEEE Signal Proces. Mag. , Jan. 2013, vol

19、. 30, no. 1, 40-46.21 Y.Sun A family of likelihood ascent search multiuser detectors: an upper bound of bit error rate and a lower bound of asymptomatic multiuser efficiencyJ. Selected Areas in communications, IEEE Journal on, 2009, 57 (6): 1743 1752.22 S. K.Mohammed. Low- complexity detection and p

20、recoding in high spectral efficiency large-MIMO systemsD. Submitted for the degree of doctor of philosophy in the faculty of engineering, 2010.23 N.Srinidhi, S.Mohammed, and A.Chockalingam,Near-ML signal detection in large-dimension linear vector channels using reactive tabu searchJ. IEEE Trans. Wir

21、eless Communications, 2009, 7 7): 2671-2681.24 P. Som, T. Datta, A. Chockalingam, et al. Improved large-MIMO detection based on damped belief propagationC. Information Theory Workshop (ITW), 2010, 1-5.25 J.Hoydis, S.Brink, M.Debbah ,Massive MIMO in the UL/DL of cellular networks: How man3 antennas do we need?J. Selected Areas in Communications, IEEE Journal on 31.2 2013:160-171.26 A.Paulraj, Nabar R., and Gore D. Introduction to Space-Time Wireless Com

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