Cognitive radar framework for target detection and tracking
Most radar systems employ a feed-forward processing chain in which they first perform some
low-level processing of received sensor data to obtain target detections and then pass the …
low-level processing of received sensor data to obtain target detections and then pass the …
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 …
Sensor management: Past, present, and future
AO Hero, D Cochran - IEEE Sensors Journal, 2011 - ieeexplore.ieee.org
Sensor systems typically operate under resource constraints that prevent the simultaneous
use of all resources all of the time. Sensor management becomes relevant when the sensing …
use of all resources all of the time. Sensor management becomes relevant when the sensing …
[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) …
Sensor selection based on generalized information gain for target tracking in large sensor networks
In this paper, sensor selection problems for target tracking in large sensor networks with
linear equality or inequality constraints are considered. First, we derive an equivalent …
linear equality or inequality constraints are considered. First, we derive an equivalent …
Received-signal-strength-based localization in wireless sensor networks
In this paper, an overview of recent developments in received-signal-strength (RSS)-based
localization in wireless sensor networks is presented. Several important practical issues and …
localization in wireless sensor networks is presented. Several important practical issues and …
[KNJIGA][B] Integrated tracking, classification, and sensor management: theory and applications
A unique guide to the state of the art of tracking, classification, and sensor management This
book addresses the tremendous progress made over the last few decades in algorithm …
book addresses the tremendous progress made over the last few decades in algorithm …
Sensor control for multi-object state-space estimation using random finite sets
The problem addressed in this paper is information theoretic sensor control for recursive
Bayesian multi-object state-space estimation using random finite sets. The proposed …
Bayesian multi-object state-space estimation using random finite sets. The proposed …
Distributed inference in wireless sensor networks
Statistical inference is a mature research area, but distributed inference problems that arise
in the context of modern wireless sensor networks (WSNs) have new and unique features …
in the context of modern wireless sensor networks (WSNs) have new and unique features …