To reduce computational complexity of signal processing and improve performance of data detection, receiver structures that are matched to the physical channel characteristics are investigates. A decision-feedback equalizer is designed whichrelies on an adaptive channel estimator to compute its parameters. The channel estimate is reduced in size by selecting only the significant components, whose delay span is often much shorter than the multipath spread of the channel. This estimate is used to cancel the post-cursor ISI prior to linear equalization. Optimal coefficient selection (sparsing) is performed by truncation in magnitude. The advantages of this approach are reduction in the number of receiver parameters, optimal implementation ofsparse feedback, and efficient parallel implementation of adaptive algorithms for the multichannel pre-combiner, the fractionally-spaced channel estimators and the short feedforward equalizer filters. Receiver algorithm is demonstrated using real datatransmitted at 10 kbps over 3 km in shallow water.
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机译:为了降低信号处理的计算复杂性并提高数据检测性能,研究与物理信道特征匹配的接收器结构。决策反馈均衡器设计在自适应信道估计器上的千里,以计算其参数。通过仅选择显着的组件,频率估计的频率估计减少,其延迟跨度通常比信道的多径扩展短得多。该估计用于在线均衡之前取消光标后isi。通过截断以幅度截断执行最佳系数选择(痉挛)。这种方法的优点是接收器参数的数量,最佳实现的分价反馈的最佳实现,以及用于多声道预组合器的自适应算法的有效并行实现,分数间隔的信道估计器和短馈通均衡器滤波器。使用在浅水3 km 3 km的10kbps的真实数据转移来证明接收器算法。
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