A dissipative sensing scheme based on a self-interference microring resonator (SIMRR),
which is robust against lasing and microcavity frequency noise in the detecting system with a …

The existing multi-sensor control algorithms for multi-target tracking (MTT) within the random
finite set (RFS) framework are all based on the distributed processing architecture, so the …

Underground, indoor, and harsh environments, which are complex, mutable, and hard to
model, prevent high accuracy positioning and navigation. In this paper, a novel positioning …

The posterior Cramér-Rao bound (PCRB) is a fundamental tool to assess the accuracy limit
of the Bayesian estimation problem. In this article, we propose a novel framework to …

A new optimization algorithm of sensor selection is proposed in this paper for decentralized
large-scale multi-target tracking (MTT) network within a labeled random finite set (RFS) …

The agents in a Multi-Agent System (MAS) make observations about the system and send
that information to a fusion center. The fusion center aggregates the information and …

A mean squared error lower bound for the discrete-time nonlinear filtering with colored
noises is derived based on the posterior version of the Cramér-Rao inequality. The colored …

Nonlinear estimation is ubiquitous in control and signal processing. It aims to estimate the
most probable state of a system and its range of uncertainty by fusing data from multiple …

The sensor selection problem is addressed for unreliable sensor networks. The Bayesian
Fisher information (BFI) matrix, mutual information (MI) and their relationship are …