| 摘要: |
| 针对加性高斯白噪声的正弦信号，提出了基于自相关函数相位的频率估计新算法。首先，推导了一种新的自相关函数相位的频率估计式，然后，针对频率估计范围与频率估计精度之间的矛盾问题，提出了一种消除相位模糊的方法。算法分析与仿真结果表明，在信噪比高于6 dB时，估计方差接近克拉美罗下界（CRLB），与TSA算法相比，在估计性能相同条件下，具有更低的计算量，便于工程实现。 |
| 关键词: 正弦信号 频率估计 自相关函数 估计范围 克拉美罗下界 相位模糊消除 |
| DOI： |
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| 基金项目: |
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| A novel algorithm for estimation of sinusoid frequency based on argument of sample autocorrelation function |
| HUANG Chao,SUO Ji-dong,YU Liang |
| () |
| Abstract: |
| A new carrier frequency estimation algorithm based on the argument of the sample autocorrelation function in additive white Gaussian noise(AWGN) is proposed. Firstly,a formula for frequency estimation based on the argument of the sample autocorrelation function is derived. Secondly, a phase ambiguity removal method for solving the contradiction problems between estimation range and estimation accuracy .Algorithm analysis and simulation results show the estimation variance of the proposed algorithm is close to the Cramer-Rao low bound（CRLB）when the signal-to-noise ratio(SNR) is higher than 6 dB and the calculation amount is smaller under the same estimation variance compared with the TSA algorithm and also easy for engineering realization. |
| Key words: sinusoid signal frequency estimation autocorrelation function estimation range Cramer-Rao low bound phase ambiguity removal |
《电讯技术》编辑部 