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In this paper, a new estimator of coherently distributed source employing the sparse representation technology is proposed by utilizing subspace fitting principle. The proposed method uses the eigenvalue-decomposition method on the sample covariance matrix of the sensor array received data and obtains the signal eigenvectors. We represent the generalized(More)
In practical array signal processing applications, the performance of DOA (direction-of-arrival) estimation methods is known to degrade severely in the presence of angular spread. In this paper, a new approach of estimating parameter via block sparse Bayesian learning is proposed for multiple incoherently distributed sources. Unlike traditional subspace(More)
In distributed antenna-aided Heterogeneous Networks, macro cells (MCs) always suffer co-channel interference (CCI) from femtocells (FCs). Hence, in this paper, the downlink (DL) signal to interference ratio (SIR) of MCs and the interferential constituents are investigated. To decrease this adverse impact of FCs and achieve high spectral efficiency, a joint(More)
In this communication, a novel low-complexity method for two dimensional (2D) DOA estimation of coherently distributed noncircular sources impinging on L-shape sensor array is proposed. Firstly, according to the noncircular property, the proposed method utilizes both the received signals and its conjugate to extend the received data matrix and form extended(More)
—a novel distributed frequency allocation scheme named as exponential distribution based frequency allocation (EDFA) is proposed in Fractional Frequency Reuse (FFR) aided OFDMA networks. EDFA has a flexible adjustment between fairness and throughput. Simulation results demonstrate that compared to the proportional fairness (PF) allocation and equal rate(More)