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Nonuniform norm constraint (NNC)-based methods have numerous potential applications for sparse signal recovery from a small number of measurements. In this study, we propose a novel NNC sparse recovery algorithm. First, a particular solution is attained by the gradient-descent-like method, which searches for the minimum NNC solution. Second, general solutions can be derived in the framework of underdetermined...
We first generalize the extended orthogonal space time block codes (EO-STBCs). Then, based on the generalized EO-STBCs (GEO-STBCs) and channel state information (CSI), the feedback bits are generated at the receiver. By using the feedback bits from the legitimate receiver, we propose a new advantage distillation scheme for multiple-input multiple-output (MIMO) wiretap channels.
The conventional two-step carrier frequency offset (CFO) estimator using L identical parts is analyzed. It turns out that the conventional two-step CFO estimator is not optimal in terms of MSE. A novel two-step CFO estimator is proposed in this paper. In fist step, a fine estimate is obtained based on the principle of minimum variance. The fine estimation has ambiguity since its estimate range is...
The decision-directed space-alternating generalized expectation-maximization (SAGE) algorithm is introduced in [1] to estimate the channel and track the channel varying for OFDM systems with transmitter diversity. However, this method is based upon a discrete Fourier transform (DFT), which will cause power leakage and result in an error floor in a multipath channel with non-sample-spaced time delays...
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