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首页> 外文期刊>IEEE transactions on circuits and systems. II, Express briefs >Grouped signed power-of-two algorithms for low-complexity adaptive equalization
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Grouped signed power-of-two algorithms for low-complexity adaptive equalization

机译:低复杂度自适应均衡的分组有符号二次幂算法

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摘要

With increasing demand for higher data rate, modern communication systems have grown more complex. Equalization has become more and more important as it is effective in mitigating the multipath fading often occurred in high-data-rate communication systems. However, the implementation complexity of adaptive equalizers is usually too high for mobile communication applications. In this paper, a novel adaptive equalization algorithm and its low-complexity architecture are proposed. This algorithm employs a new grouped signed power-of-two (GSPT) number representation. The GSPT algorithm and several enhanced versions are simulated as adaptive equalizers in a phase-shift keying communication receiver for several practical channels and the GSPT-based equalizers perform as well as the least mean square (LMS) equalizer. Moreover, for comparison, two GSPT-based equalizers and two other equalizers are implemented in field-programmable gate arrays. The GSPT-based equalizers require only about 25%-30% of the hardware resources needed in the LMS equalizer. Also the GSPT-based equalizers are more than twice as fast as the LMS equalizer.
机译:随着对更高数据速率的需求的增加,现代通信系统变得越来越复杂。均衡已变得越来越重要,因为它可以有效缓解高数据速率通信系统中经常发生的多径衰落。然而,对于移动通信应用而言,自适应均衡器的实现复杂度通常过高。本文提出了一种新的自适应均衡算法及其低复杂度体系结构。该算法采用了新的分组有符号二乘幂(GSPT)数字表示形式。 GSPT算法和几种增强版本在相移键控通信接收器中被模拟为自适应均衡器,用于几个实际信道,基于GSPT的均衡器的性能与最小均方(LMS)均衡器相同。此外,为了进行比较,在现场可编程门阵列中实现了两个基于GSPT的均衡器和两个其他均衡器。基于GSPT的均衡器仅需要LMS均衡器所需硬件资源的25%-30%。同样,基于GSPT的均衡器的速度是LMS均衡器的两倍以上。

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