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首页> 外文期刊>EURASIP journal on advances in signal processing >Bit Rate Maximising Per-Tone Equalisation with Adaptive Implementation for DMT-Based Systems
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Bit Rate Maximising Per-Tone Equalisation with Adaptive Implementation for DMT-Based Systems

机译:基于DMT的系统采用自适应实现的比特率最大化单音均衡

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We present a bit rate maximising per-tone equalisation (BM-PTEQ) cost function that is based on an exact subchannel SNR as a function of per-tone equaliser in discrete multitone (DMT) systems. We then introduce the proposed BM-PTEQ criterion whose derivation for solution is shown to inherit from the methodology of the existing bit rate maximising time-domain equalisation (BM-TEQ). By solving a nonlinear BM-PTEQ cost function, an adaptive BM-PTEQ approach based on a recursive Levenberg-Marquardt (RLM) algorithm is presented with the adaptive inverse square-root (iQR) algorithm for DMT-based systems. Simulation results confirm that the performance of the proposed adaptive iQR RLM-based BM-PTEQ converges close to the performance of the proposed BM-PTEQ. Moreover, the performance of both these proposed BM-PTEQ algorithms is improved as compared with the BM-TEQ.
机译:我们提出了一种最大比特率的单音均衡(BM-PTEQ)成本函数,该函数基于精确的子信道SNR,作为离散多音(DMT)系统中单音均衡器的函数。然后,我们介绍了拟议的BM-PTEQ准则,该准则的求解公式显示为继承现有比特率最大化时域均衡(BM-TEQ)的方法。通过求解非线性BM-PTEQ成本函数,提出了基于递归Levenberg-Marquardt(RLM)算法的自适应BM-PTEQ方法和基于DMT的系统的自适应逆平方根(iQR)算法。仿真结果证实,提出的基于iQR RLM的自适应BM-PTEQ的性能收敛接近提出的BM-PTEQ的性能。此外,与BM-TEQ相比,这两种建议的BM-PTEQ算法的性能都得到了改善。

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