Xiao Wei, Tu Ya-Qing, Liu Liang-Bing, Mo Zheng-Jun. A Frequency Estimation Algorithm Based on Spectrums Correlation of Multi-section Co-frequency Sinusoids[J]. Journal of Electronics & Information Technology, 2012, 34(3): 564-570. doi: 10.3724/SP.J.1146.2011.00665
Citation:
Xiao Wei, Tu Ya-Qing, Liu Liang-Bing, Mo Zheng-Jun. A Frequency Estimation Algorithm Based on Spectrums Correlation of Multi-section Co-frequency Sinusoids[J]. Journal of Electronics & Information Technology, 2012, 34(3): 564-570. doi: 10.3724/SP.J.1146.2011.00665
Xiao Wei, Tu Ya-Qing, Liu Liang-Bing, Mo Zheng-Jun. A Frequency Estimation Algorithm Based on Spectrums Correlation of Multi-section Co-frequency Sinusoids[J]. Journal of Electronics & Information Technology, 2012, 34(3): 564-570. doi: 10.3724/SP.J.1146.2011.00665
Citation:
Xiao Wei, Tu Ya-Qing, Liu Liang-Bing, Mo Zheng-Jun. A Frequency Estimation Algorithm Based on Spectrums Correlation of Multi-section Co-frequency Sinusoids[J]. Journal of Electronics & Information Technology, 2012, 34(3): 564-570. doi: 10.3724/SP.J.1146.2011.00665
For improving the sinusoidal signal frequency estimation at low Signal-to-Noise Ratio (SNR), a frequency estimation algorithm based on spectrums correlation of Multi-Section Co-Frequency (MSCF) sinusoids signal is proposed. Firstly, the Optimization Weighted-Accumulation (OW-A) spectrum is gained through weighted-accumulating spectrums of the MSCF sinusoids signal by the weighted factor. Secondly, the correlation spectrum is constructed by correlating the OW-A spectrum and the accumulation spectrum of the MSCF sinusoids signal. Consequently, frequency estimation can be obtained through spectral peak searching of the correlation spectrum. Simulation results demonstrate the superior performance of the proposed algorithm.