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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...
Use of multiple antennas at the transmitter and receiver can increase wireless communication system capacity enormously. Maximum likelihood detection (MLD) algorithm provides the best bit error rate (BER) performance for multiple-input multiple-output (MIMO) system. However, the computational complexity of ML detection algorithm grows exponentially with the number of transmit antennas, which results...
For MIMO-OFDM systems, maximum a posteriori probability (MAP) channel estimation algorithm induces large matrix inversion and product operation when it is applied to multiple-input multiple-output with orthogonal frequency division multiplexing (MIMO-OFDM) systems. And the data transmission efficiency will be reduced with the increasing number of transmit antennas. According to these problems, a high...
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...
Maximum likelihood detection (MLD) algorithm provides the best bit error rate (BER) performance for multiple-input multiple-output (MIMO) system. However, the computational complexity of ML detection algorithm grows exponentially with the number of transmit antennas, which results in impractical to use in practice system. The use of QR decomposition with an M-algorithm (QRD-M) has been proposed to...
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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