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Maximum SINR Prefiltering for Reduced-State Trellis-Based Equalization

机译:最大SINR预过滤器用于减压基于格子的基于格子的均等化

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We consider prefiltering for a single-carrier transmission over frequency-selective channels, where reduced-state trellis-based equalization is employed at the receiver, such as delayed decision-feedback sequence estimation (DDFSE) or reduced-state sequence estimation (RSSE). While previously proposed prefiltering schemes are based on the optimum filters of decision-feedback equalization (DFE), the prefiltering scheme introduced in this paper is designed according to a signal-to-interference-plus-noise ratio (SINR), whose definition takes into account explicitely the subsequent trellis-based equalizer and its complexity. In addition to the prefilter, a finite-length target impulse response for DDFSE/RSSE and an infinite- length feedback filter for state-dependent decision feedback in DDFSE/RSSE, respectively, is optimized. The developed solutions lend themselves to an interpretation of the tasks of the optimum filters. The presented numerical results show that noticeable gains can be achieved compared to state-of-the-art prefilters.
机译:我们考虑在接收器上采用频率选择通道的单载波传输的单载波传输,例如在接收器处采用延迟的决策反馈序列估计(DDFSE)或降低状态序列估计(RSSE)。虽然先前提出的预过滤器方案基于决策反馈均衡(DFE)的最佳滤波器,但本文引入的预翻译方案根据信号到干扰 - 加噪声比(SINR)设计,其定义进入帐户显式的基于格子的基于格子的均衡器及其复杂性。除了预流器外,还优化了DDFSE / RSSE的有限长度目标脉冲响应和用于DDFSE / RSSE中的状态依赖性判定反馈的无限长度反馈滤波器。开发解决方案借助最佳滤波器的任务来解释。呈现的数值结果表明,与最先进的预滤器相比,可以实现明显的增益。

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