In this paper, we consider the problem of tracking multiple targets in a passive multi-static
radar system using Doppler-only measurements. The number of targets is assumed …

A new sensor-selection solution within a multi-Bernoulli-based multi-target tracking
framework is presented. The proposed method is especially designed for the general multi …

The paper addresses the problem of tracking multiple targets with Doppler-only
measurements in multi-sensor systems. It is well known that the observability of the target …

The measurements from multistatic radar systems are typically subjected to complicated
data association, noise corruption, missed detection, and false alarms. Moreover, most of the …

This paper presents a novel multi-objective optimization based sensor selection method for
multi-target tracking in sensor networks. The multi-target states are modelled as multi …

This paper addresses the problem of joint detection, tracking and classification (JDTC) of
multiple maneuvering targets in clutter. The multiple model cardinality balanced multi-target …

With the growth of air transport, the air traffic control needs to enforce the Communication
navigation surveillance air traffic management (CNS-ATM) because this is the back bone of …

In networks composed of moving robots or static sensing nodes, multitarget tracking is
critical and fundamental for high-level applications, such as scene analysis or event …

The passive radar (PR) systems working in the high‐frequency (HF) band take advantage of
numerous high‐power stations and long wavelength, which are useful for anti‐stealth, while …

Probability hypothesis density (PHD) filter is an effective means to track multiple targets in
that it avoids explicit data association between measurements and tracks. The Gaussian …