数字移动无线电通信中采用再训练RLS算法的均衡器性能

T. Ueda, H. Suzuki
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引用次数: 24

摘要

为了提高高比特率数字移动无线电通信在频率选择性衰落环境下的传输性能,提出了一种用于决策反馈均衡器(DFE)的再训练递归最小二乘(RT-RLS)算法。在一个实时实验系统中进行了性能评估实验,该实验系统包括一个由单片机数字信号处理器(DSP)实现的DFE。实验采用250 kbit/s的正交相移键控(QPSK),最大多普勒频率高达160 Hz。实验采用两波模型,两波具有相同的功率,并以瑞利分布独立波动。误码率(BER)性能低于10/sup -2/
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance of equalizers employing a re-training RLS algorithm for digital mobile radio communications
To improve the transmission performance of high bit-rate digital mobile radio communications in frequency-selective fading environments, a retraining recursive least squares (RT-RLS) algorithm for a decision feedback equalizer (DFE) is proposed. Performance evaluation experiments were carried out with a real-time experimental system that includes a DFE implemented by a single-chip digital signal processor (DSP). Experiments were performed by transmitting 250 kbit/s quadrature phase shift keying (QPSK) at a maximum Doppler frequency up to 160 Hz. The experiment assumes a two-wave model, in which waves have the same power and fluctuate independently with Rayleigh distribution. A bit error ratio (BER) performance below 10/sup -2/ was realized.<>
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