Analysis of low-complexity windowed DFT-based MMSE channel estimator for OFDM systems.

Low-complexity windowed discrete Fourier transform (DFT)-based minimum mean square error (MMSE) channel estimators are proposed and analyzed for both the interpolation and noninterpolation cases for orthogonal frequency-division multiplexing (OFDM) mobile communications systems. In the proposed meth...

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Detalles Bibliográficos
Publicado en:	IEEE Transactions on communications 49, 11 (2001).
Autor principal:	Baoguo Yang
Formato:	Artículo
Lenguaje:	English
Materias:	DFT-based estimator. IDFT/DFT transforms. IFFT/FFT. OFDM systems. Rayleigh fading. Aliasing errors reduction. Channel noise suppression. Computation load reduction. Discrete Fourier transform. Fast algorithms. Frequency domain data windowing. Interpolation. Low-complexity channel estimator. Minimum mean square error. Mobile communications systems. Multipath fading channels. Noise filtering performance. Noninterpolation case. Optimal MMSE estimator. Optimal generalized Hanning window shape. Orthogonal frequency-division multiplexing. Simulation results. Time domain MMSE weighting. Windowed DFT-based MMSE channel estimator.