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In the last decade, several subspace-based algorithms for blind channel identification in zero-padded systems were introduced. These subspace-based methods are attractive because highly accurate estimates of the channel can be obtained by using only a few received blocks. However, they do not work when applied to the zero-padded orthogonal frequency division multiplexing systems (ZP-OFDM) with virtual...
The estimation of carrier frequency offset (CFO) is an important issue for OFDM systems. Many CFO estimation methods have been proposed in the past. In particular, two ESPRIT-based methods were introduced for blind CFO estimations. These ESPRIT-based methods can provide satisfactory performance at a reasonable implementation cost. In this paper, we propose a least-squares (LS) algorithm for improving...
In this paper, we propose a new algorithm to preprocess an IR image sequence for the detection of a small target which is undistinguishable because it is dim and embedded in strong clutter. This algorithm integrates the background suppression based on wavelet transform and the improved frame difference to enhance the target intensity, suppress the cluster, and improve the SNR. Experimental results...
Recently, a blind subspace channel estimation algorithm in which using only a few received OFDM blocks is proposed. Based on this earlier work, we introduce a novel subspace-based blind carrier frequency offset (CFO) estimation method for OFDM systems. The CFO is obtained by solving the nullspace of the proposed rank-reduced matrix and the CFO estimate is given in closed form. Moreover, we do not...
Carrier frequency offset (CFO) and in-phase/quadrature-phase (I/Q) imbalance are two major impairments of the wideband direct-conversion receivers. They can cause significant performance degradation in multi-carrier modulation systems. In this paper, we propose a new two-step algorithm for estimating the parameters of both impairments based on generalized periodic pilot (GPP). Simulation results show...
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