SFO and CFO combined estimation method based on maximum likelihood estimation
The invention discloses an SFO and CFO combined estimation method based on maximum likelihood estimation, and aims to solve the problems that the computational complexity is high due to two-dimensional global search, and the high-SNR (Signal Noise Ratio) error floor estimation accuracy cannot contin...
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Sprache: | eng |
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Zusammenfassung: | The invention discloses an SFO and CFO combined estimation method based on maximum likelihood estimation, and aims to solve the problems that the computational complexity is high due to two-dimensional global search, and the high-SNR (Signal Noise Ratio) error floor estimation accuracy cannot continue to converge in the existing SFO and CFO combined estimation method. The technical solution is that the method comprises the following steps: determining a range of SFO, transforming the range of SFO into a range of variable t, using first-order Legendre polynomial to approximate a formula I shown in the description to obtain first-order Legendre polynomial approximant, substituting the approximant into a formula II shown in the description to obtain t; transforming a final estimation value eta' of SFO by t; obtaining an estimation value epsilon' of CFO by the eta'. The SFO and CFO combined estimation method based on maximum likelihood estimation does not require the two-dimensional global search, so that the computational complexity is reduced greatly, meanwhile, the problem of error floor in high SNR in the existing estimation method is eliminated, and the estimation accuracy is improved. |
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