固定窗口恒模算法:自适应实现

Xiangyang Zhuang, A. Swindlehurst
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引用次数: 2

摘要

两种先前提出的块迭代算法的自适应实现;称为固定窗口恒模算法(FWCMA)。讨论了它们的暂态行为与用户序列恢复的延迟的关系,并与其他现有的CMA变体进行了比较。自适应的FWCMA-2似乎特别有前途,可以用很少的数据实现收敛。它保留了批处理算法的优点,即快速收敛、对病态条件的鲁棒性、不需要步长调整和相对较低的复杂性。对收敛延迟的内置控制转化为更可靠和可预测的瞬态行为。均衡器计算可以从任何初始化开始,在任何时间瞬间,在不存储任何接收到的数据的情况下立即获得收敛。因此,可以使用不同的初始化来轻松地获得多个均衡器,以不同的延迟恢复信号或在近距离模拟下恢复不同的用户。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fixed-window constant modulus algorithms: adaptive implementations
Adaptive implementations of two previously proposed block-iterative algorithms; referred to as fixed-window constant modulus algorithms (FWCMA), are developed. Their transient behavior, in relation to the delay at which the user sequence is recovered, is discussed and compared with other existing variations of CMA. The adaptive FWCMA-2 appears to be particularly promising, attaining convergence with little data. It retains the merits of its batch counterpart, namely, fast convergence, robustness to ill-conditioning, no required step-size tuning, and relatively low complexity. The built-in control over the converged delay translates into more reliable and predictable transient behavior. Equalizer calculation can be initiated from any initialization, and at any time instant, to attain convergence instantaneously without storing any received data. Thus, different initializations can be used to easily obtain multiple equalizers recovering the signal at different delays or recovering distinct users under a near-far simulation.
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