Performance of adaptive algorithms for compensation of radio over fiber links

A. Hekkala, M. Lasanen
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引用次数: 17

Abstract

This paper considers the adaptive predistortion of the nonlinear distortions in a Radio over Fiber (RoF) link. In particular, we modify and compare two adaptive algorithms developed originally for the compensation of the linear systems, namely LMS and variable step size normalized LMS (VS NLMS). A recursive least squares (RLS) solution is used as a reference. Our simulation results indicate that over 40 dB improvement of adjacent channel power ratios can be achieved via the predistortion. Furthermore, we show that in the compensation of the nonlinear RoF link, the LMS can be used in such a way that its performance is comparable to more complex RLS.
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光纤链路无线电补偿自适应算法的性能
研究了光纤无线电(RoF)链路中非线性失真的自适应预失真。特别地,我们修改并比较了最初为线性系统补偿而开发的两种自适应算法,即LMS和变步长归一化LMS (VS NLMS)。使用递归最小二乘(RLS)解作为参考。仿真结果表明,通过预失真可以使相邻信道功率比提高40 dB以上。此外,我们还表明,在非线性RoF链路的补偿中,LMS的性能可以与更复杂的RLS相媲美。
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