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This paper addresses the multi-source localization problem by utilizing a novel subspace based joint sparse recovery approach. We firstly introduce a multiple measurement vector (MMV) positioning framework in the context of joint sparse recovery. To sufficiently degrade the effect of measurement noise at a lower cost of deployed anchors, we then optimally hybridize the compressive sensing and array...
The classical algorithms in DOA (Direction Of Arrival) estimation endure two obvious drawbacks that they are invalid when faced with the time-varying signals and difficult to be implemented in hardware. In this paper, we propose that Locally Competitive Algorithm (LCA) be applied to estimate the time-varying signals' DOA innovatively. In order to solve the l1-minimization problems rapidly and efficiently,...
In traditional framework of Compressive Sensing (CS), only sparse prior on the property of signals in time or frequency domain is adopted to guarantee the exact inverse recovery. Besides sparse prior, cluster prior is introduced in this paper in order to investigate a class of structural sparse signals, called clustered sparse signals. A hierarchical statistical model is employed via Bayesian approach...
Compressive sensing (CS) has attracted many researchers since it offers a novel paradigm that one can acquire sparse signals at a sub-Nyquist rate without information losses. In J. Ma, April 2009, S. Bhattacharya et al, Aug 2007, and G. Rilling et al, 2009, the authors have presented some schemes for CS application on remote sensing imaging, some of which are related to SAR. CS remote sensing imaging...
Cognitive radio (CR) is proposed to improve frequency efficiency while avoiding interference with licensed users. In this paper, we adopt a resource allocation (RA) algorithm to perform uplink frequency allocation and power control between noncooperative multi-cell for CR network. The proposed RA algorithm is an extension of iterative water-filling algorithm (IWFA) applied to single-cell. The maximization...
Based on adaptive rood pattern search (ARPS) algorithm, a new fast and efficient motion estimation algorithm called enhanced adaptive rood pattern search (E-ARPS) is proposed in this paper. Unlike ARPS, the E-ARPS utilizes spatial correlations to predict the initial search centre, then introduces a new initial search based on motion vector(MV) centre-biased distribution , and an adaptive unequal-arm...
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