OvTDM is a new transmission scheme that can obtain high spectral efficiency with very low threshold signal noise ratio (SNR) by using the inter symbol interference (ISI). Fano algorithm (FA) is researched in this paper to implement fast ML decoding at high spectral efficiency for OvTDM. Numerical results show that the complexity of OvTDM with FA has no relationship with the number of state which is lower than 15% of that of Viterbi algorithm and the bit SNR loss is under 2 dB. Moreover, OvTDM with FA can even outperform Shannon limit when spectral is above 6.7 bits/s/Hz.
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机译：OvTDM是一种新的传输方案，可以通过使用符号间干扰（ISI）以非常低的阈值信号噪声比（SNR）获得高频谱效率。本文研究了Fano算法（FA），以实现OvTDM的高频谱效率的快速ML解码。数值结果表明，具有FA的OvTDM的复杂度与状态数没有关系，状态数低于Viterbi算法的状态数的15％，比特SNR损耗小于2 dB。此外，当频谱高于6.7 bit / s / Hz时，带有FA的OvTDM甚至可以超过Shannon限制。
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