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- W2364454772 abstract "It is well known that Maximum Likelihood Estimation is the optimal estimator on theory.For obtaining the global logarithm likelihood function,all the received data have to be transmitted to the fusion center in Underwater Wireless Sensor Array Network(UWSAN).However,the bandwidth of wireless communication is limited in it.In order to solve this problem,the modeling and fitting of local logarithm likelihood function are focused on in this paper.The relationship between local logarithm likelihood function and the received energy and the directional of arrival(DOA) is established.According to the characteristics of likelihood function,Gaussian function is selected as the basis function in least-square fitting.Then two simplified methods are proposed to reduce the amount of data.Preliminary numerical simulation results are shown that this method can guarantee likelihood function with an unchanged key performance,and reduce transmission data quantity between the local node and the fusion node greatly." @default.
- W2364454772 created "2016-06-24" @default.
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- W2364454772 date "2011-01-01" @default.
- W2364454772 modified "2023-09-23" @default.
- W2364454772 title "Approximation of Likelihood Function Based on Gaussian Model" @default.
- W2364454772 hasPublicationYear "2011" @default.
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