A robust minimum mean squared error (MMSE) channel estimation algorithm that does not rely on a priori knowledge of the channel statistics gives good results with MC-CDMA systems. The robust MMSE estimator takes advantages of the correlation between all Np pilot-subcarriers and requires one Np×Np matrix inversion for each pilot symbol of the burst structure. This complexity can be large depending on the number of pilot subcarriers in the system. The paper presents and analyses two low-complexity suboptimal approximations of the robust MMSE channel estimator. A complexity versus performance degradation comparison is done. The performance is presented in terms of mean square error for a 1024 tone MC-CDMA system over ETSI BRAN mobile channel m...
Conventional Minimum-Variance (MV) channel estimation is affected by two sources of error, namely th...
Abstract:-The present work addresses channel estimation based on the Minimum Mean Square Error (MMSE...
Abstract In this paper we present extremely low-complexity adaptive infinite impulse response (IIR) ...
The performance of a decision-directed channel estimation scheme is analyzed in the context of both ...
In this paper we investigate the block-type pilot channel estimation for orthogonal frequency-divisi...
This paper investigates the impact of channel estimation errors in the uplink and downlink of a mul...
Multi-carrier code division multiple access (MC-CDMA) is a strong candidate for downlink of future m...
A low complexity decision-directed channel estimation method is proposed, which is suitable for a wi...
Channel estimation technique is to predict the frequency response of the radio channel using pilot s...
Wireless communication systems incorporating coherent OFDM requires the estimation and tracking of t...
Demodulators based on the minimum mean squared error (MMSE) criterion are optimal for 'ideal' AWGN c...
Abstract in Undetermined In this paper a VLSI implementation of a highly scalable MMSE (Minimum Mean...
In this paper, we investigate a pilot-based channel estimation scheme for the uplink of CDMA systems...
Abstract — Demodulators based on the Minimum Mean Squared Error (MMSE) criterion are optimal for ‘id...
During the last few years, the progress in wireless communication is widely increasing to mitigate t...
Conventional Minimum-Variance (MV) channel estimation is affected by two sources of error, namely th...
Abstract:-The present work addresses channel estimation based on the Minimum Mean Square Error (MMSE...
Abstract In this paper we present extremely low-complexity adaptive infinite impulse response (IIR) ...
The performance of a decision-directed channel estimation scheme is analyzed in the context of both ...
In this paper we investigate the block-type pilot channel estimation for orthogonal frequency-divisi...
This paper investigates the impact of channel estimation errors in the uplink and downlink of a mul...
Multi-carrier code division multiple access (MC-CDMA) is a strong candidate for downlink of future m...
A low complexity decision-directed channel estimation method is proposed, which is suitable for a wi...
Channel estimation technique is to predict the frequency response of the radio channel using pilot s...
Wireless communication systems incorporating coherent OFDM requires the estimation and tracking of t...
Demodulators based on the minimum mean squared error (MMSE) criterion are optimal for 'ideal' AWGN c...
Abstract in Undetermined In this paper a VLSI implementation of a highly scalable MMSE (Minimum Mean...
In this paper, we investigate a pilot-based channel estimation scheme for the uplink of CDMA systems...
Abstract — Demodulators based on the Minimum Mean Squared Error (MMSE) criterion are optimal for ‘id...
During the last few years, the progress in wireless communication is widely increasing to mitigate t...
Conventional Minimum-Variance (MV) channel estimation is affected by two sources of error, namely th...
Abstract:-The present work addresses channel estimation based on the Minimum Mean Square Error (MMSE...
Abstract In this paper we present extremely low-complexity adaptive infinite impulse response (IIR) ...