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Two-way seamless communication is the key aspect of realizing the vision of smart grid. Reliable and real-time information becomes the key factor for reliable delivering of power from the generating units to the end-users. Given the smart grid use cases, this article is focused on proposing a cognitive based communication paradigm. The proposal is related(More)
Spectrum sensing is a fundamental requirement in cognitive radio (CR) networks. In this paper, a novel spectrum sensing scheme based on energy detection is presented which enables a significant reduction in the number of samples. The sensing process involves several stages and each stage employs two thresholds that are adjusted according to the number of(More)
Smart grid integrates the latest advances in information and communication technologies to contribute to a more reliable and efficient electricity system. By realizing the two-way communication between the utility and the smart meters in the houses, smart grid enables a time-of-use tariff to reduce peak load through incenting residents to adopt a more(More)
A computationally efficient method for 2D direction-of-arrival (DOA) estimation of coherently distributed source is presented. The key idea is to construct second-order statistics calculated analytically based on the Schur-Hadamard product steering vector. So a closed form solution to 2D DOA estimation can be derived, which does not involve any(More)
In this paper, the problem of estimating the central direction of arrival (DOA) of coherently distributed source impinging upon a uniform linear array is considered. An efficient method based on the support vector regression is proposed. After a training phase in which several known input/output mapping are used to determine the parameters of the support(More)
The structure of block sparsity in multi-band signals is prevalent. Among the block-sparse signal problems for compressive sensing, the most presenting recovery algorithms require block sparsity as prior information, whereas it may not be available in many practical applications. In this paper, a block sparsity adaptive regularized orthogonal matching(More)
An H-infinity (H-inf) channel estimation algorithm is proposed for estimating the channels in MIMO-OFDM systems in the presence of carrier frequency offset (CFO). The goal is to contribute to an algorithm with low complexity, good estimate performance and better suppression to CFO. For this purpose, the H-inf with simplified objective function is first(More)
When the array steering vector is precisely known, adaptive beamforming is known to have resolution and interference rejection capability. However, the performance of adaptive beamforming techniques may degrade severely in the presence of mismatches between the assumed array response and the true array response. Similar types of degradation can occur when(More)
In cognitive radar system, how the transmitted waveform adapts in response to information regarding the radar environment is an important problem. In this paper, the waveform design for cognitive radar is viewed as an optimization problem. Then a new waveform design method for cognitive radar is proposed, which uses IPM (interior-point method) to carry out(More)