基于自適應(yīng)調(diào)制的改進(jìn)型VBLAST檢測(cè)算法研究
Study of Improved V-BLAST Detection Algorithm Based on Adaptive Modulation
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摘要: 根據(jù)檢測(cè)順序不同,貝爾實(shí)驗(yàn)室垂直分層空時(shí)(V-BLAST)檢測(cè)算法分為正序和逆序檢測(cè)。本文針對(duì)自適應(yīng)調(diào)制的特點(diǎn)首次將兩種檢測(cè)算法結(jié)合,提出一種新的混合檢測(cè)順序。首先檢測(cè)調(diào)制尺寸已達(dá)最大的飽和信道,然后檢測(cè)信噪比不能滿(mǎn)足最低門(mén)限的無(wú)效信道,最后按檢測(cè)后信噪比距離門(mén)限值最近者優(yōu)先的原則檢測(cè)剩余子信道。仿真結(jié)果表明,在平均信噪比較高或較低時(shí),混合檢測(cè)的頻譜效率分別趨于正序或逆序檢測(cè),當(dāng)信噪比適中時(shí),新算法的頻譜效率優(yōu)于其它兩種算法。Abstract: Vertical-Bell Labs Layered Space-Time (V-BLAST) detection algorithm comprises forward and reverse ones according to different detection orders. Combining both algorithms, a novel detection algorithm is presented in this paper in view of the characters of adaptive modulation. New algorithm first detects the saturated channel with maximum modulation size, then detects the invalid channel which does not meet the minimum SNR threshold, finally detects the remaining channel as the criteria minimizing distance between post-detection SNR and threshold set. Simulation results show that the spectral efficiencies of proposed algorithm tend to forward or reverse order at high or low SNR respectively, and outperform the both at middle SNR.
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Foschini G J, Gans M J. On limits of wireless communications in a fading environment when using multiple antennas[J].Wireless Personal Communications.1998, 6(3):311-[2]Wolniansky P W, Foschini G J, Golden G D, et al.. V-BLAST:An architecture for realizing very high data rates over the rich-scattering wireless channel[C]. Proc. ISSSE-98, Pisa, Italy,1998:295 - 300.[3]Kim Y D, Kim I Y, Choi J H, et al.. Adaptive modulation for MIMO systems with V-BLAST detection[C]. IEEE VTC 2003-Spring, Jeju, Korea, 2003:1074 - 1078.[4]Catreux S, Ereeg V, Gesbert D, et al.. Adaptive modulation and MIMO coding for broadband wireless data networks[J]. IEEE Comrnun. Mag., 2002, 40(6): 108 - 115.[5]Proakis J G.數(shù)子通信[M].第三版.北京:電子工業(yè)出版社,1998:188-196. -
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