SEEE DIGIBOOK ON ENGINEERING & TECHNOLOGY, VOL. 03, MAY 2022 PP. (89-92)


Abstract

In this letter, we examine the issue of tracking distributed targets when there is dispute regarding the relationships between data and targets. At least one well-known method that employs the least squared error (MMSE) approach has been developed in response to the challenge of link prediction. In the presence of several detectors, the computed covariance of the median outlook has a possibility of becoming non-positive and semi-definite. As a result, it is inapplicable to some simulations, as it cannot be executed in these circumstances. We design a novel distributed method that use the maximum a posteriori (MAP) strategy to manage the data association procedure. This method is employed to address the data association procedure. The innovative method has the ability to ensure that the computed correlations of the global estimate are positive and semi-definite in every simulation. This index includes concepts such as data association uncertainty, distributed estimation, target tracking, and wireless sensor networks.

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Suhashini C, Aiswaraya R, Manjula T V, Preethi S, Vishva V

Department of Information Technology

Rathinam Technical Campus, Coimbatore, Tamilnadu, India