基于三角多项式插值的频率和相位联合估计算法
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Frequency and Phase Estimation Algorithm Based on Trigonometric Interpolation
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    摘要:

    目前,低信噪比下的通信业务在不断发展,为了使其载波同步系统在低信噪比下能获得运算复杂度和同步精度的双重最佳性能,本文提出了一种新的频率和相位联合估计算法,该算法在FFT运算的基础上,进一步对谱线进行三角多项式插值运算,并通过求解最大值,获得精确的频率和相位估计;通过设计算法的实现方案,减小了运算量。仿真表明,该算法估计误差逼近CRB界,且具有很低的信噪比门限;与Rife、Quinn相比,算法的复杂度与其基本相当,但估计精度显著提高;与三线幅度法相比,算法的运算量仅约为其一半,且性能更好;与迭代类载波估计算法相比,虽然精度基本相当,但运算量和处理延迟要显著减小。

    Abstract:

    Nowadays, communication service under low SNR is developing. To achieve lower computing expense and better precision of the carrier synchronization system under low SNR, a new frequency and phase estimation algorithm is suggested. The received signal is firstly processed by FFT operation; carrier estimation model based on maximized trigonometric interpolating result of FFT spectrum is built. Precise estimating results of frequency and phase are achieved by resolving the model. Implement of the algorithm is also proved to reduce computing expense. Simulations indicate that the algorithm not only has high precision which approaches CRB bound closer, but also has low SNR threshold. Compared with Rife and Quinn Algorithm, the algorithm requires almost equal computing expenses but has much higher precision. Compared with three-spectrum technique, the algorithm has slight higher precision but requires only half computing expense. When compared with iterative carrier estimation algorithms, the algorithm has approximate precision but requires much fewer computing expense and processing delay.

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胡景明,叶展,张邦宁.基于三角多项式插值的频率和相位联合估计算法[J].数据采集与处理,2014,29(3):431-438

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  • 在线发布日期: 2014-06-25