Title :
Performance of channel estimation methods for OFDM systems in a multipath fading channels
Author :
Moon, Jae Kyoung ; Choi, Song In
Author_Institution :
Dept. of Syst. Eng., ETRI, Tajeon, South Korea
fDate :
2/1/2000 12:00:00 AM
Abstract :
In this paper, a Gaussian interpolation filter and cubic interpolation filter are presented as more accurate interpolation filters compared to the conventional linear interpolation filter. In addition to an interpolation filter, a low pass filter using FFT and IFFT is also presented to reduce the noisy components of a channel estimate obtained by an interpolation filter. Channel estimates after low-pass filtering combined with interpolation filters can lower the error floor compared to the use of only interpolation filters. Computer simulation demonstrates that the presented channel estimation methods exhibit improved performance compared to the conventional linear interpolation filter. OFDM and in particular coded OFDM DAB systems are discussed
Keywords :
Gaussian processes; OFDM modulation; band-pass filters; digital audio broadcasting; estimation theory; fast Fourier transforms; interpolation; modulation coding; multipath channels; DAB; FFT; Gaussian interpolation filter; IFFT; OFDM systems; channel estimation methods; cubic interpolation filter; digital audio broadcasting; error floor; low pass filter; multipath fading channels; noisy components; Channel estimation; Computer hacking; Data analysis; Fading; Filters; Moon; OFDM;
Journal_Title :
Consumer Electronics, IEEE Transactions on