垂直分層空時(shí)碼的MAP檢測(cè)器及其神經(jīng)網(wǎng)絡(luò)實(shí)現(xiàn)
MAP Based Detection Algorithm for V-BLAST System
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摘要: 該文基于最大后驗(yàn)概率準(zhǔn)則，給出了垂直分層空時(shí)碼的最佳檢測(cè)箅法。算法對(duì)接收到的符號(hào)矢量的符號(hào)分量進(jìn)行逐個(gè)地判決以使誤符號(hào)率最小。同時(shí)還詳細(xì)說(shuō)明了徑向基函數(shù)神經(jīng)網(wǎng)絡(luò)可以完全等價(jià)于最大后驗(yàn)概率檢測(cè)算法，由于神經(jīng)網(wǎng)絡(luò)的硬件可實(shí)現(xiàn)性，本文提出的算法是可能在實(shí)際中應(yīng)用的。Abstract: This paper proposes the optimum detection algorithm for a multiple antenna system based on the Maximum A Posteriori (MAP) criterion. It makes symbol-by-symbol decisions so that the probability of a symbol error is minimized. It also shows that the radial basis function neural network has an identical structure to the proposed MAP algorithm and, therefore, can be employed in a multiple antennas system.
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[1] Foschini G J, Gans N J. On limits of wireless communications in a fading environment when using multiple antennas[J].Wireless Personal Communications.1998, 6(3):311-335 -
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