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This technical note focuses on efficiently identifying the unknown or time-varying random latency probability (RLP) of the measurements in the networked multi-sensor system by resorting to expectation maximization (EM) framework. Firstly, a novel scheme is proposed for equivalently decomposing the complete data log-likelihood function into a summation form parameterized by RLP. Secondly, the rapid...
The OTHR (over-the-horizon radar) based tracking methods have a common prerequisite that the virtual ionospheric height, as the key ionosphere state, should be obtained either by ionosondes or external sources. However, ionosondes can not be deployed arbitrarily and external sources may not be always available, which results in the situation that the ionosphere state is unknown. This motivates us...
In this paper, we focus on the problem of parameter identification in a class of linear system, where system parameter (SP) is nonlinearly coupled in dynamic transition matrix (DTM), such as the well-known maneuvering target tracking with unknown turn rate. By regarding these elements nonlinearly parameterized by SP in DTM as a group of new multiplicative parameters (MP) linearly coupled with system...
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