基于频域子空间平滑的MUSIC时延估计算法
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1.河北科技大学信息科学与工程学院 石家庄 050018;2.中国电子科技集团公司第五十四研究所卫星导航系统与装备技术国家重点实验室 石家庄 050081

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TN911.7

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Time delay estimation based on frequency domain subspace smoothing MUSIC algorithm
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1. School of information science and engineering, Hebei University of science and technology, Shijiazhuang 050018, China; 2. State Key Laboratory of Satellite Navigation System and Equipment Technology, The 54th Research Institute of China Electronics Technology Group Corporation, Shijiazhuang 050081, China

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    摘要:

    时延估计常被用在无线定位测距中,针对多径环境下定位精度下降和时延估计失真的问题,提出了一种基于正交频分复用(OFDM)频域子空间平滑的超分辨率(MUSIC)时延估计算法。首先使信号源经过OFDM调制,利用子载波形成数据流;随后在频域对数据流的协方差矩阵作双向平滑处理,使其最大程度的利用信号子空间的数据信息;最后利用MUSIC算法下信号/噪声子空间正交性逐一进行谱峰检测,并针对噪声情况对伪谱作归一化处理,从而获得更为准确的时延信息。计算机仿真表明,本文优化算法相对于特征空间MUSIC算法具有更高的谱峰和更窄的旁瓣,且无错误估计干扰。在测距信号间隔较近时能够有效解决估计失真问题,最小时延间隔可达6ns,分辨能力较强。估计性能层面,可在信噪比为-15dB复杂条件下估计精度达到3ns左右,验证了该算法的有效性和优越性。

    Abstract:

    Time delay estimation is often used in wireless positioning and ranging. In multipath environment, there will be problems of positioning accuracy degradation and time delay estimation distortion. To solve this problem, a time delay estimation algorithm based on orthogonal frequency division multiplexing (OFDM) frequency domain subspace smoothing on multiple signal classification (MUSIC) is proposed. First, the signal source is modulated by OFDM and the data stream is formed by using subcarriers. Then, the covariance matrix of data stream is bidirectional smoothed in frequency domain to make the best use of the data information of signal subspace. In the end, the signal or noise subspace orthogonality of MUSIC algorithm is used to detect the spectrum peaks one by one, and the pseudo spectrum is normalized to obtain more accurate time delay information. Computer simulation shows that the proposed algorithm has higher spectral peak and narrower sidelobe than the eigen space MUSIC algorithm, and has no error estimation interference. When the ranging signal interval is close, it can effectively solve the problem of estimation distortion. the minimum time delay interval can be close to 6ns, and the resolution is strong. At the estimation performance level, the estimation accuracy can be close to 3ns under the complex condition of signal-to-noise ratio of -15dB, which verifies the effectiveness and superiority of the improved algorithm.

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苏佳,曾存良,易卿武,马天翊,侯卫民.基于频域子空间平滑的MUSIC时延估计算法[J].电子测量技术,2022,45(14):145-151

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  • 在线发布日期: 2024-04-08
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