A novel joint precoding optimization algorithm is proposed in dual hop multiple input multiple output (MIMO) relay communication systems with full channel state information (CSI),generally joint optimization always us...
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A novel joint precoding optimization algorithm is proposed in dual hop multiple input multiple output (MIMO) relay communication systems with full channel state information (CSI),generally joint optimization always use iteration algorithm and combines precoding for source and relay with detection for destination node *** to the consistency for precoding and detection for interference cancelling,in this paper,joint optimization only consider the precoding algorithm for source and relay node,and leave out the detection algorithm for destination node,therefore it reduces the iteration calculation complexity and easy for implementation for destination node,and from simulation results the performance is only a little ***,when complexity and performance are considered,this algorithm reaches a better compromise.
This paper explains the image reconstruction in Positron Emission Tomography using Maximum a Posterior (MAP). Till date, Diagnostic reconstruction methods offer a direct mathematical solution for the edifice of an ima...
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ISBN:
(纸本)9781467313421
This paper explains the image reconstruction in Positron Emission Tomography using Maximum a Posterior (MAP). Till date, Diagnostic reconstruction methods offer a direct mathematical solution for the edifice of an image. This tactic requires a minimization of a convex cost function which in turn results in many problems related to the computational difficulty. Further, Iterative techniques are based on a more accurate description of the imaging process resulting in a more complicated mathematical solution requiring multiple steps to attain the image. The practical technique used here is MAP repetition method. This statistical technique offers better and lowest normalized root mean square error (NRMSE) in the PET Brain replica. Various image quality constraints make it painstaking and time consuming to analyze the PET brain image in this procedure. The PET brain image is fabricated and pretend in MATLAB/Simulink package.
This paper investigates the cooperative beamforming in the amplify-and-forward-based cognitive relay network. Beamforming coefficients are designed to maximize the sum rate of the secondary users with a total transmit...
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ISBN:
(纸本)9781479944811
This paper investigates the cooperative beamforming in the amplify-and-forward-based cognitive relay network. Beamforming coefficients are designed to maximize the sum rate of the secondary users with a total transmit power constraint of the relays and an interference power constraint at the primary receiver. The sum rate maximization problem is firstly solved by characterizing the achievable rate region. This method is optimal but of great complexity. Then, an iteration algorithm based on semidefinite programming (SDP) and the first order Taylor polynomial which has lower complexity but comparable performance is introduced. Simulation results confirm the feasibility of these two methods for the sum rate maximization problem in the cognitive relay network and demonstrate that the lower complexity method finds the global optimum of the problem just as the rate region method does.
Certain error exists in the data collected from multi-sensor network, which is caused by the external interference and defect of sensors. Thus, data fusion algorithm is applied in such monitoring to improve the reliab...
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Certain error exists in the data collected from multi-sensor network, which is caused by the external interference and defect of sensors. Thus, data fusion algorithm is applied in such monitoring to improve the reliability. In this paper, we propose a heterogeneous sensor data fusion algorithm for temperature monitoring in carbon fiber carbonization process. Through an improved adaptive weighting algorithm and iteration algorithm based on the average value, data from heterogeneous sensors are merged to obtain data closer to the real values. The feasibility of the method is verified in experiment.
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