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Simplified log likelihood ratio calculation in soft ordered successive interference cancellation for multiple-input multiple-output digital video broadcasting-second generation terrestrial receivers

机译:多输入多输出数字视频广播第二代地面接收机的软有序连续干扰消除中的简化对数似然比计算

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摘要

This study proposes a soft ordered successive interference cancellation (OSIC) receiver accompanied by a simplified log-likelihood ratio calculation method for a dual-polarised multiple-input multiple-output (MIMO) digital video broadcasting-second generation terrestrial system. The future terrestrial transmission systems will be required to provide high data rates for ultra-high definition television service. For this purpose, dual-polarised MIMO techniques with a little cross-antenna interference and high-order modulation schemes have been considered. As the cross-antenna interference needs to be removed, a soft OSIC receiver can be used effectively. However, the receiver has to endure high computational complexity for calculating soft values. To reduce it, the authors simplified the calculation based on the decision threshold (DT) method. The main contribution of this study is to extend the conventional DT method, which is restricted to only low-order modulations, to an algorithmic process applicable to any modulation order. The proposed soft OSIC receiver has about 1 dB degradation from the soft OSIC receiver with the maximum-likelihood calculation of soft values. The degradation can be fully rewarded by the significantly reduced computational complexity. Furthermore, this study presents an additional possibility of improving the decoding performance by modelling the OSIC equaliser as a biased estimator.
机译:这项研究提出了一种用于双极化多输入多输出(MIMO)数字视频广播第二代地面系统的软有序连续干扰消除(OSIC)接收机以及简化的对数似然比计算方法。未来的地面传输系统将需要为超高清电视服务提供高数据速率。为此,已经考虑了具有很少跨天线干扰和高阶调制方案的双极化MIMO技术。由于需要消除跨天线干扰,因此可以有效地使用软OSIC接收器。但是,接收机必须忍受较高的计算复杂度才能计算软值。为了减少它,作者简化了基于决策阈值(DT)方法的计算。这项研究的主要贡献是将仅限于低阶调制的常规DT方法扩展到适用于任何调制阶的算法过程。所提出的软OSIC接收机与软OSIC接收机相比,通过软值的最大似然计算可以降低约1 dB的衰减。可以通过显着降低的计算复杂度完全补偿降级。此外,这项研究提出了通过将OSIC均衡器建模为偏置估计器来提高解码性能的另一种可能性。

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