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Although maximum a posteriori probability (MAP) channel estimator has an optimal performance for MIMO-OFDM systems, its high complexity could be in the order of O(K3), where K is the number of subcarriers. So, in this paper, we introduce an H-infinity estimator which has good performance, but with much less complexity. Next, lots of matrices inversions and multiplications are reduced by the iterative...
In the Orthogonal Frequency Division Multiplexing (OFDM) system, pilot signals are transmitted for the receiving device to estimate the channel's response. The interval of such pilot is often designed to accommodate the devices under most extreme channel conditions or the average conditions of the environment. This scenario design either results in unnecessary overhead that could have been used for...
For MIMO-OFDM system, expectation maximum (EM) is used to decrease the complexity of maximum a posteriori probability (MAP) channel estimation algorithm. However, EM-based MAP algorithm generates the low mean square error (MSE) performance at high signal noise rate (SNR) because of the convergent feature of EM algorithm. According to this issue, a modified EM-based MAP (MEM-MAP) channel estimation...
This paper analyzes the influence of independent identical distributed phase noise (PN) at different transmit and receive antennas on the performance of multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) based communication systems. Assuming PN is not severe, we can show that the ICI of the phase noises can be separated into two additive terms, which are induced...
This paper proposes an improved Maximum a posteriori probability (IMAP) algorithm for the estimation of frequency-selective channels in MIMO-OFDM systems. To further mean square error (MSE) performance and reduce the training overhead during MAP channel estimation, joint estimation is carried out over multiple OFDM symbols firstly. Then, according to the idea that MIMO channels in angle domain can...
This paper presents an expectation-maximization (EM) based angle-domain algorithm (EMA) channel estimation for multiple-input multiple-output with orthogonal frequency division multiplexing (MIMO-OFDM) systems. Although EM algorithm combined with maximum a posteriori (MAP) estimator could obtain good performance, its high complexity makes this algorithm unpractical. The proposed algorithm do not require...
Multiple-input multiple-output combined with orthogonal frequency division multiplexing (MIMO-OFDM) channel estimation could be improved by prior knowledge of the channel spatial correlation. This information is, however, not always unavailable. So, we choose to investigate channel estimation in angle domain, where different channel coefficients can be assumed to be of irrelevance. In this paper,...
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