In this paper, we address the problem of devising a Quality of Experience (QoE) aware flight plan for UAV mounted Base Station within heterogeneous networks. Specifically, we propose a QoE aware flight planning algori...
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ISBN:
(纸本)9781538647523
In this paper, we address the problem of devising a Quality of Experience (QoE) aware flight plan for UAV mounted Base Station within heterogeneous networks. Specifically, we propose a QoE aware flight planning algorithm leveraging the well established Q-learning approach and introducing a reward related to relevant QoE metrics. Numerical simulation results show the effectiveness of the QoE-aware learning algorithm to devise a flight path such that the UAVs mounted Base Station actually improves the QoE of the heterogeneous network users.
In this work, we propose a distributed power control algorithm able to capture the tradeoff between detection capabilities and power consumption for a radar sensor network. this is achieved by modeling the radar senso...
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ISBN:
(纸本)9781467310710
In this work, we propose a distributed power control algorithm able to capture the tradeoff between detection capabilities and power consumption for a radar sensor network. this is achieved by modeling the radar sensors as rational agents engaging in a noncooperative game in which the detection threshold and the transmit power are properly designed according to the Nash equilibrium solution. An iterative algorithm based on a best-response dynamics is proposed to achieve the equilibrium point and its performance is compared to that achieved by a uniform power allocation.
We consider gridless direction-of-arrival (DOA) estimation of much more targets than the number of physical sensors through the exploitation of multi-frequency sparse array design and processing which increase the deg...
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ISBN:
(纸本)9781728119465
We consider gridless direction-of-arrival (DOA) estimation of much more targets than the number of physical sensors through the exploitation of multi-frequency sparse array design and processing which increase the degrees of freedom as more frequency components are used. A modified sensor interpolation technique is developed to accurately estimate the signal covariance matrix using very few snapshots, thereby eliminating the requirement of a large number of snapshots as in conventional different coarray-based DOA estimation. Simulation results demonstrate high-resolution gridless DOA estimation capability of more targets than the number of physical sensors.
We present an intelligent sensorarray-based joint radar-communication system which exploits chance constrained programming to develop a robust beamforming design. Probabilistic chance constraints are introduced for t...
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ISBN:
(纸本)9781728119465
We present an intelligent sensorarray-based joint radar-communication system which exploits chance constrained programming to develop a robust beamforming design. Probabilistic chance constraints are introduced for the communication operation where the communication objectives are achieved with a desired success rate in the presence of communication channel uncertainties. the chance constraint optimization is then relaxed to form a deterministic and convex problem by employing the statistical profile of the communication channels. Simulation results illustrate the performance of the proposed strategy.
the fact that most of high-accuracy positioning and distributed timing services, including safety-critical operations, rely on Global Navigation Satellite Systems (GNSS) has raised the concern of possible denial-of-se...
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ISBN:
(纸本)9781479914814
the fact that most of high-accuracy positioning and distributed timing services, including safety-critical operations, rely on Global Navigation Satellite Systems (GNSS) has raised the concern of possible denial-of-service situations. Complementary to time-and frequency-domain mitigation techniques, it is well known that antenna-array based receivers can benefit from spatial domain processing and effectively mitigate unintentional and intentional Radio Frequency Interferences (RFIs). In this work, we propose a software-based GNSS receiver architecture that implements a real-time, array-based signal acquisition algorithm based on the Generalized Likelihood Ratio Test, combined with a null-steering spatial filter for signal tracking, showing its RFI rejection capabilities.
this paper presents two fast and computationally efficient interferometric algorithms that allow high accuracy, unambiguous angle-of-arrival (AOA) estimates to be obtained using physically large wideband antennas that...
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ISBN:
(纸本)9781467310710
this paper presents two fast and computationally efficient interferometric algorithms that allow high accuracy, unambiguous angle-of-arrival (AOA) estimates to be obtained using physically large wideband antennas that are suitable for electronic surveillance. the performance of the algorithms are compared against conventional interferometric techniques using simulations and are also verified experimentally.
In this paper, we apply a nonlinear frequency modulation scheme based on arctangent function to waveform diverse array system to design a transmitted beampattern to focus the signal power at a specific position. Disti...
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ISBN:
(纸本)9781538647523
In this paper, we apply a nonlinear frequency modulation scheme based on arctangent function to waveform diverse array system to design a transmitted beampattern to focus the signal power at a specific position. Distinct from most of the existing methodologies, the proposed method overcomes the problem that the focusing performance of the signal power will decrease when considering the propagation process of the transmitted signal. As a result, the transmitted signal power can be focused at a desired position and be lasting for a period of time. Numerical simulations validate the theoretical analysis of the proposed methodology.
In this paper, we devise a sparse array design algorithm for adaptive beamforming. Our strategy is based on finding a sparse beamformer weight to maximize the output signal-tointerference-plus-noise ratio (SINR). the ...
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ISBN:
(纸本)9781665406338
In this paper, we devise a sparse array design algorithm for adaptive beamforming. Our strategy is based on finding a sparse beamformer weight to maximize the output signal-tointerference-plus-noise ratio (SINR). the proposed method uses the alternating direction method of multipliers (ADMM), and admits closed-form solutions at each ADMM iteration. Numerical results exhibit excellent performance of the proposed method, which is comparable to that of the exhaustive search approach.
A novel convex optimization problem formulation for source localization using partly calibrated arrays composed of subarrays with unknown displacements is introduced. the proposed formulation is based on sparse recons...
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ISBN:
(纸本)9781479914814
A novel convex optimization problem formulation for source localization using partly calibrated arrays composed of subarrays with unknown displacements is introduced. the proposed formulation is based on sparse reconstruction using a mixed trace- and l(1)-norm minimization and exploits joint sparsity and special structure in the signal model. the new technique is applicable to subarrays of arbitrary topologies and allows the joint estimation of the directions of arrival (DoAs) and the array calibration. As shown by simulations, our new DoA estimation technique outperforms the state of the art method RARE, especially in low number of snapshot and low signal-to-noise ratio regime.
the ESPRIT method is a classical method for one-dimensional harmonic retrieval. During the past two decades it has become apparent that several applications in signalprocessing correspond to the less studied Multidim...
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ISBN:
(纸本)9781479914814
the ESPRIT method is a classical method for one-dimensional harmonic retrieval. During the past two decades it has become apparent that several applications in signalprocessing correspond to the less studied Multidimensional Harmonic Retrieval (MHR) problem. In order to accommodate this demand, we propose an extension of ESPRIT to MHR based on the coupled canonical polyadic decomposition. this leads to a dedicated uniqueness condition and an algebraic framework for MHR.
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