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This paper introduces a novel semi-blind channel estimation algorithm based on Orthogonal Procrustes (OP) approach for Multiple Input Multiple Output (MIMO) systems using Orthogonal Frequency Division Multiplexing (OFDM) modulation. The presented joint estimator is based on decomposition of channel matrix H as a whitening matrix R and a unitary rotation matrix Q. The whitening matrix R can be estimated...
Multiple input multiple output (MIMO) orthogonal frequency division multiplexing (OFDM) systems facilitate high data rate wireless communications, and require reliable channel estimates to fully materialize their advantages. The semiconductor downscaling trend has exacerbated device impairments such as inphase and quadrature (I/Q) imbalances which cause inter-carrier interferences in OFDM systems...
This paper aims to improve the performance of estimation and compensation for both the transmitter and receiver radio impairments in the MIMO-OFDM (multiple-input, multiple-output orthogonal frequency-division multiplexing) systems. First, a joint least-squares estimation of channel and radio impairments is developed with a complete set of radio impairments being taken into consideration, including...
In this paper, a 2times2 MIMO-OFDM digital baseband receiver for IEEE 802.16 WMAN-OFDM PHY is presented. The inner receiver design includes the timing and carrier frequency synchronization, the channel estimation and the MIMO detection with adaptive equalization technique. In order to enhance the robustness of the system, the BLMS algorithm is derived to track the channel variation for the Alamouti-scheme...
In this paper, we propose a new scheme for maximum-likelihood (ML) estimation of both carrier- frequency offset (CFO) and channel coefficients in multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems. To reduce the prohibitive complexity of ML estimate, the expectation-maximization (EM) algorithm is employed. From Simulations, it is shown that the accuracy...
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