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Owing to the ability of improving spectrum utilisation and quality-of-service (QoS) in wireless communications, multiple-input-multiple-output (MIMO) cognitive radio (CR) network has been identified as an excellent choice for the next generation communication. To protect primary users (PUs) from excessive interference while ensuring a meaningful QoS of secondary users (SUs), one key challenge of such...
In this paper a new least mean square (LMS) based adaptive weighting algorithm is proposed. It is appropriate for antenna array systems with moving targets and mobile applications. The essential goal of this algorithm is to reduce the complexity of weighting process and to decrease the time needed for adjusting the antenna radiation pattern. The main lobe of antenna will be adjusted in the direction...
This paper studies linear transmit filter design for weighted sum-rate (WSR) maximization in the multiple input multiple output broadcast channel (MIMO-BC). The problem of finding the optimal transmit filter is non-convex and intractable to solve using low complexity methods. Motivated by recent results highlighting the relationship between mutual information and Minimum Mean Square Error (MMSE),...
In this paper, a pilot-based single-input multiple-output MMSE decision feedback equalizer (MMSE-DFE) is proposed to overcome the long transient period problem of the adaptive equalizers for the DTV channel. Furthermore, to reduce its complexity, a two-dimensional equalizer is developed, wherein the spatial equalizer and the multiple single-input single-output MMSE-DFEs are optimally combined. Its...
A novel multi-microphone speech enhancement method with low computational complexity using the generalized sidelobe canceller (GSC) structure based on LMS (least mean square) algorithm is proposed under stationary noise condition. In adaptive module of the presented method, speech signals in one frame share the same weight and update simultaneously instead of calculating weights respectively. Experimental...
In this paper, a previously proposed estimator is extended to estimate two dimensional (2-D) angles of arrival of multiple highly correlated and coherent signals by using forward /backward spatial smoothing techniques. The special structure of the two parallel uniform linear arrays (ULAs) is exploited to estimate 2-D angles of arrival as polynomial roots. The computation complexity of the proposed...
In the paper, an approach is proposed for robust constrained LMS beamforming in the presence of pointing error, array geometry error and sensor phase error (generalized as array phase errors). The basic idea is to search the optimal weight vector with constrained LMS update, and jointly search the actual array steering vector of the desired signal based on steering vector-expanded algorithm. Despite...
A nonlinear beamforming algorithm with less computation complexity is presented. Its weight vector can be obtained by incremental method, this will reduce largely computation complexity and easy to be implemented in DSP. Moreover, the high-order characteristic of received signals is utilized, so it outperformances the linear minimal mean square error (MMSE) beamforming method in terms of a reduced...
The contribution of this paper is twofold. We first clarify geometrically an inherent difference in convergence speed between two adaptive algorithms, projected-NLMS (PNLMS) and constrained-NLMS (CNLMS), both of which are widely used for linearly constrained adaptive filtering problems. A simple geometric interpretation suggests that CNLMS converges faster than PNLMS especially in the challenging...
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