An overview of cognitive radar: Past, present, and future
Modern radar systems face numerous challenges due to requirements of robust, high
performance across multiple missions and multiple functions in the face of dynamically …
performance across multiple missions and multiple functions in the face of dynamically …
Cognitive radars: On the road to reality: Progress thus far and possibilities for the future
This article describes some key ideas and applications of cognitive radars, highlighting the
limits and the path forward. Cognitive radars are systems based on the perception-action …
limits and the path forward. Cognitive radars are systems based on the perception-action …
[KNJIGA][B] Foundations and applications of sensor management
AO Hero, D Castañón, D Cochran, K Kastella - 2007 - books.google.com
Foundations and Applications of Sensor Management presents the emerging theory of
sensor management with applications to real-world examples such as landmine detection …
sensor management with applications to real-world examples such as landmine detection …
Multi-armed bandit problems
Multi-armed bandit (MAB) problems are a class of sequential resource allocation problems
concerned with allocating one or more resources among several alternative (competing) …
concerned with allocating one or more resources among several alternative (competing) …
Artificial intelligence meets radar resource management: A comprehensive background and literature review
A multi‐function radar is designed to perform disparate functions, such as surveillance,
tracking, fire control, amongst others, within a limited resource (time, frequency, and energy) …
tracking, fire control, amongst others, within a limited resource (time, frequency, and energy) …
Planning for robotic exploration based on forward simulation
M Lauri, R Ritala - Robotics and Autonomous Systems, 2016 - Elsevier
We address the problem of controlling a mobile robot to explore a partially known
environment. The robot's objective is the maximization of the amount of information collected …
environment. The robot's objective is the maximization of the amount of information collected …
An information-based approach to sensor management in large dynamic networks
This paper addresses the problem of sensor management for a large network of agile
sensors. Sensor management, as defined here, is the process of dynamically retasking agile …
sensors. Sensor management, as defined here, is the process of dynamically retasking agile …
Structured threshold policies for dynamic sensor scheduling—A partially observed Markov decision process approach
V Krishnamurthy, DV Djonin - IEEE Transactions on Signal …, 2007 - ieeexplore.ieee.org
We consider the optimal sensor scheduling problem formulated as a partially observed
Markov decision process (POMDP). Due to operational constraints, at each time instant, the …
Markov decision process (POMDP). Due to operational constraints, at each time instant, the …
Partially observable Markov decision process approximations for adaptive sensing
Adaptive sensing involves actively managing sensor resources to achieve a sensing task,
such as object detection, classification, and tracking, and represents a promising direction …
such as object detection, classification, and tracking, and represents a promising direction …
Online UAV path planning for joint detection and tracking of multiple radio-tagged objects
We consider the problem of online path planning for joint detection and tracking of multiple
unknown radio-tagged objects. This is a necessary task for gathering spatio-temporal …
unknown radio-tagged objects. This is a necessary task for gathering spatio-temporal …