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Application and Analysis of MIMO-OFDM Channel Estimation Based on NNISA-PF Algorithm
Author(s): 
Pages: 95-99,116
Year: Issue:  13
Journal: Video Engineering

Keyword:  channel estimation;
Abstract: MIMO-OFDM(多输入多输出—正交频分复用)系统的信道估计问题是系统接收机进行相干解调的关键.针对标准粒子滤波算法在MIMO-OFDM信道估计时存在观测系数不准确和粒子退化等问题,提出了一种基于神经网络的重要性样本调整粒子滤波(NNISA-PF)算法.对MIMO-OFDM通信系统及时变信道进行建模,得到了状态空间模型;详细分析了标准粒子滤波的改进算法——NNISA-PF;在MIMO-OFDM快衰落和慢衰落信道下,对Kalman、Bootstrap和NNISA-PF三种滤波算法分别在AWGN、Middleton-A噪声下的NMSE和BER性能进行了仿真对比分析.仿真结果表明,在快衰落和慢衰落情况下,NNISA-PF算法都可以有效对抗噪声干扰,尤其是在非高斯噪声环境下优势明显;NNISA-PF算法可以较准确地对MIMO-OFDM时变信道进行半盲估计,使MIMO-OFDM技术优势得到充分发挥.与现有的半盲信道估计方法相比,该方法具有估计精度高、对非高斯噪声鲁棒性强等优点.
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