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首页> 外文期刊>IEEE transactions on wireless communications >Reduced complexity in-phase/quadrature-phase M-QAM turbo equalization using iterative channel estimation
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Reduced complexity in-phase/quadrature-phase M-QAM turbo equalization using iterative channel estimation

机译:使用迭代信道估计降低复杂度的同相/正交相位M-QAM Turbo均衡

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摘要

A reduced complexity trellis-based turbo equalizer known as the in-phase (I)/quadrature-phase (Q) turbo equalizer (TEQ-IQ) invoking iterative channel impulse response (CIR) estimation is proposed. The underlying principle of TEQ-IQ is based on equalizing the I and Q component of the transmitted signal independently. This requires the equalization of a reduced set of separate I and Q signal components in comparison to all of the possible I/Q phasor combinations considered by the conventional trellis-based equalizer. It was observed that the TEQ-IQ operating in conjunction with iterative CIR estimation was capable of achieving the same performance as the full-complexity conventional turbo equalizer (TEQ-CT) benefiting from perfect CIR information for both 4- and 16-quadrature amplitude modulation (QAM) transmissions, while attaining a complexity reduction factor of 1.1 and 12.2, respectively. For 64-QAM, the TEQ-CT receiver was too complex to be investigated by simulation. However, by assuming that only two turbo equalization iterations were required, which is the lowest possible number of iterations, the complexity of the TEQ-IQ was estimated to be a factor of 51.5 lower than that of the TEQ-CT. Furthermore, at BER = 10-3 the performance of the TEQ-IQ 64-QAM receiver using iterative CIR estimation was only 1.5 dB away from the associated decoding performance curve of the nondispersive Gaussian channel.
机译:提出了一种降低复杂度的基于网格的涡轮均衡器,称为同相(I)/正交相(Q)涡轮均衡器(TEQ-IQ),它调用迭代信道脉冲响应(CIR)估计。 TEQ-IQ的基本原理是基于独立均衡传输信号的I和Q分量。与传统的基于网格的均衡器考虑的所有可能的I / Q相量组合相比,这需要均衡一组减少的I和Q信号分量。观察到,结合迭代CIR估计运行的TEQ-IQ能够获得与全复杂常规Turbo均衡器(TEQ-CT)相同的性能,这得益于4和16正交幅度调制的完美CIR信息。 (QAM)传输,同时分别降低1.1和12.2的复杂度。对于64-QAM,TEQ-CT接收机过于复杂,无法通过仿真进行研究。但是,假设只需要进行两次turbo均衡迭代,这是可能的最低迭代次数,则估计TEQ-IQ的复杂度比TEQ-CT低51.5倍。此外,在BER = 10-3时,使用迭代CIR估计的TEQ-IQ 64-QAM接收机的性能仅与非分散高斯信道的相关解码性能曲线相距1.5 dB。

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