Network Centric MFA Tracking Architecture Based on Soft-Level Data Association
نویسندگان
چکیده
This work presents a new network centric architecture for multiple frame assignment (MFA) tracking. The architecture improves on earlier network tracking schemes by allowing trackers to broadcast decisions about their local soft-level associations, via the Soft Associated Measurement Reports (SAMRs). The SAMR may be followed by an “Oops” message, if the soft association was incorrect and must be revoked. We show, however, that such revocations are very rare in most scenarios. This paper discusses the implementation of the new algorithm and presents simulation results. Considerable improvements in the consistency of the air picture are demonstrated, owing to the the reduced latency in transmission of measurement-to-track associations. The earlier network architectures, namely, the Centralized MFA, the Replicated Centralized MFA, and the Network MFA on Local and All Data, are also discussed in this work, as they form the foundation for the “Oops” algorithm.
منابع مشابه
Multitarget Tracking in a Multisensor Multiplatform Environment
Due to the current advances in technology, it is both possible as well as feasible to track multiple targets in a network centric environment. To this end, the development and the design of a network centric environment must be based on solid understanding of the theoretical foundations and should yield required performance in a control simulation. The paper provides an overview of various issu...
متن کاملAccuracy criterion for the mean-field approximation in susceptible-infected-susceptible epidemics on networks.
Mean-field approximations (MFAs) are frequently used in physics. When a process (such as an epidemic or a synchronization) on a network is approximated by MFA, a major hurdle is the determination of those graphs for which MFA is reasonably accurate. Here, we present an accuracy criterion for Markovian susceptible-infected-susceptible (SIS) epidemics on any network, based on the spectrum of the ...
متن کاملTitle : IEEE Transactions on Cloud Computing Title of Paper : Cross - cloud MapReduce for Big Data
MapReduce plays a critical role as a leading framework for big data analytics. In this paper, we consider a geodistributed cloud architecture that provides MapReduce services based on the big data collected from end users all over the world. Existing work handles MapReduce jobs by a traditional computation-centric approach that all input data distributed in multiple clouds are aggregated to a v...
متن کاملCross-cloud MapReduce for Big Data
MapReduce plays a critical role as a leading framework for big data analytics. In this paper, we consider a geodistributed cloud architecture that provides MapReduce services based on the big data collected from end users all over the world. Existing work handles MapReduce jobs by a traditional computation-centric approach that all input data distributed in multiple clouds are aggregated to a v...
متن کاملIs the medical financial assistance program an effective supplement to social health insurance for low-income households in China? A cross-sectional study
BACKGROUND China uses both social health insurance (SHI) programs and a medical financial assistance (MFA) program to protect the poor from illness-induced financial risks. The MFA provides a dual benefit package targeting low-income families: subsidizing these families' participation in SHI programs, and providing cash aid to protect them from catastrophic health expenditure (CHE). This study ...
متن کامل