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This paper considers wireless sensor networks with limited bandwidth, where sensors must transmit sensing results that are distorted with noise uncertainty, to the fusion center reliably and efficiently. A class of rate-1 linear complex-field coding (CFC) transmission strategy is developed, to effectively protect the noisy observation of the signals without any bandwidth expansion. Pairwise error...
Subspace methods have been widely used in blind channel estimation of MIMO-OFDM system. However, direct subspace decomposition suffers from heavy computation complexity of o(N)³. In this paper, a new data projection method (DPM) based principal and minor subspace tracking algorithm is presented by exploiting a novel orthonormalization matrix. The new algorithm exhibits good numerical stability and...
In this paper, an iterative channel estimation algorithm is considered in LTE systems. A simplified expectation maximization (EM) based algorithm is proposed for channel estimation in the frequency domain. In order to deal with “null” sub-carriers in the guard band and make the algorithm simpler, the truncated singular value decomposition method is integrated to EM (TSVD-EM). Together with a simple...
\boldmath Expectation-maximization (EM) based iterative algorithms are investigated in order to estimate the impulse response of a frequency-selective multipath channel in a coded OFDM system. Two ways of choosing the EM complete data are compared: a complete data built from observations and transmitted symbols (CL-EM) and a complete data chosen by decomposing noise and observation components (NCD-EM)...
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