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In this paper, we propose an improved channel estimation algorithm for orthogonal frequency division multiplexing (OFDM) systems with virtual carriers. As conventional estimator can not estimate the channel transfer function (CTF) at virtual carriers, resulting in channel energy leakage after inverse discrete Fourier transform (IDFT), time-domain filtering method is not directly applicable. To circumvent...
In this paper, we address the problem of frequency offset and channel gains estimation for correlated multi-input multi-output (MIMO) channels. The channel is assumed to be frequency-selective and block fading with both spatial and multipath correlations. A maximum-likelihood (ML) frequency offset (FO) estimator is proposed by using the Baysian approach and the mean and variance of the FO estimation...
This paper addresses the problem of frequency offsets and channel gains estimation for a multi-input multi-output (MIMO) system in flat-fading channels. The general case where the frequency offsets are possibly different for each transmit antenna is considered. The maximum-likelihood (ML) estimation of the carrier frequency offset for each transmit antenna in a MIMO system is investigated in this...
This paper addresses the problem of frequency offsets and channel gains estimation for MIMO system in flat-fading channels. Based on the MUSIC (multiple signal classification) and the ML (maximum likelihood) methods, a new joint estimation algorithm of frequency offsets and channel gains is proposed. The new algorithm has three steps. A subset of frequency offsets is first estimated by the MUSIC algorithm...
Zhang has proposed the maximum-likelihood (ML) integer frequency offset (IFO) estimator for orthogonal frequency-division multiplexing (OFDM) systems. However, his solution to multi-path channels is quite limited. We further investigate the problem and propose an improved IFO estimator to solve the problem in multi-path channels.
A novel estimator for integer frequency offset estimation of OFDM systems is derived, which is based on the maximum likelihood (ML) technique and exploits the differential information between two consecutive blocks of OFDM data symbols in the frequency domain. The reason why the ML estimator has better performance than the conventional method is analyzed. How to select the differential sequence is...
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