Abstract
This paper presents a new block iterative/adaptive frequency-domain channel estimation scheme, in which a channel frequency response (CFR) is estimated iteratively by the proposed weighted element-wise block adaptive frequency-domain channel estimation (WEB-CE) scheme using the soft information obtained by a soft-input soft-output (SISO) decoder. In the WEB-CE, an equalizer coefficient is calculated by minimizing a weighted conditional squared-norm of the a posteriori error vector with respect to its correction term. Simulation results verify the superiority of the WEB-CE in a time-varying typical urban (TU) channel.
Highlights
Cyclic-prefixed single-carrier frequency-domain equalization (SC-FDE) has received enormous attention in recent years because of its efficient implementation and low peakto-average power ratio (PAPR) characteristics over broadband wireless channels
We propose a block iterative/adaptive channel frequency response (CFR) estimation scheme, in which a weighted element-wise block adaptive frequency-domain channel estimation (WEBCE) using the soft information obtained from the soft-input soft-output (SISO) decoder is presented
We evaluate the performance of SC-FDE employing WEBCE in the slow time-varying channels [3]
Summary
Cyclic-prefixed single-carrier frequency-domain equalization (SC-FDE) has received enormous attention in recent years because of its efficient implementation and low peakto-average power ratio (PAPR) characteristics over broadband wireless channels. It is noticed that most works have been performed with the assumption that a channel frequency response (CFR) is perfectly known to the receiver [1, 2]. This assumption is not valid since a real channel is unknown and time-varying. We propose a block iterative/adaptive CFR estimation scheme, in which a weighted element-wise block adaptive frequency-domain channel estimation (WEBCE) using the soft information obtained from the SISO decoder is presented. Simulation results show that the WEB-CE yields good performance in a typical urban (TU) channel as the iteration number and elementwise block length increase. IN , 0N , and diag(·) denote the identity matrix of size N, zero matrix of size N, and diagonal matrix, respectively
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