郭翠娟, 毕长浩. 考虑量化的OFDM压缩感知信道估计算法*[J]. 云南大学学报(自然科学版), 2018, 40(3): 451-457. doi: 10.7540/j.ynu.20170246
引用本文: 郭翠娟, 毕长浩. 考虑量化的OFDM压缩感知信道估计算法*[J]. 云南大学学报(自然科学版), 2018, 40(3): 451-457. doi: 10.7540/j.ynu.20170246
GUO Cui-juan, BI Chang-hao. Consider the quantization of OFDM compressed sensing channel estimation algorithm[J]. Journal of Yunnan University: Natural Sciences Edition, 2018, 40(3): 451-457. DOI: 10.7540/j.ynu.20170246
Citation: GUO Cui-juan, BI Chang-hao. Consider the quantization of OFDM compressed sensing channel estimation algorithm[J]. Journal of Yunnan University: Natural Sciences Edition, 2018, 40(3): 451-457. DOI: 10.7540/j.ynu.20170246

考虑量化的OFDM压缩感知信道估计算法*

Consider the quantization of OFDM compressed sensing channel estimation algorithm

  • 摘要: 针对存在量化影响下的正交频分复用系统信道估问题,首先提出利用全相位FFT的∑Δ量化噪声整形方法,基于信道稀疏性和压缩感知降低噪声大小;然后针对在量化噪声影响下的OFDM系统提出压缩感知信道算法.仿真结果表明,该算法具有良好的估计性能,同时可进一步降低系统噪声大小.

     

    Abstract: Aiming at the channel estimation problem of Orthogonal Frequency Division Multiplexing (OFDM) system under the influence of quantization,the ∑Δ quantization noise shaping method using full-phase FFT is firstly proposed to reduce the noise based on channel sparsity and compression perception.Then,OFDM system proposed in this paper compressed perceptual channel algorithm.Simulation shows that the proposed algorithm has good estimation performance and can further reduce the system noise.

     

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