Underwater surveillance has traditionally been carried out by means of surface and
undersea manned vessels equipped with advanced sensor systems. This approach is often …

This newest edition adds new material to all chapters, especially in mathematical
propagation models and special applications and inverse techniques. It has updated …

Surveillance in antisubmarine warfare has traditionally been carried out by means of
submarines or frigates with towed arrays. These techniques are manpower intensive …

Tracking moving targets hidden behind visually opaque structures as building walls is a
crucial issue in many surveillance, rescue, and security applications. The electromagnetic …

This paper addresses the problem of multitarget tracking using a network of sensing agents
with unknown positions. Agents have to both localize themselves in the sensor network and …

With the development of artificial intelligence, multiagent algorithms have been applied to
many real-time strategy games. Making plans on the human being is gradually passing …

The recent appreciation of deep reinforcement learning (DRL) arises from its successes in
many domains, but the applications of DRL in practical engineering are still unsatisfactory …

In practical tracking applications, the target detection performance may be unknown and
also change rapidly in time. This work considers a network of sensors and develops a target …

In this paper we present a novel method for the acoustic tracking of multiple Autonomous
Underwater Vehicles. While the problem of tracking a single moving vehicle has been …

This paper proposes a centralized MTT method based on a state-of-the-art multi-sensor
labeled multi-Bernoulli (LMB) filter in underwater multi-static networks with autonomous …