In this paper we characterize the relative sensor-target geometry in R2 in terms of potential localization performance for time-of-arrival based localization. Our aim is to characterize those relative sensor-target geometries which minimize the relative Cramer-Rao lower bound.<br /
Source localization plays a key role in many applications including radar, wireless and underwater c...
Abstract: This paper describes an intuitive geometric algorithm for the localization of mobile nodes...
This paper analytically characterizes optimal sensor placements for target localization and tracking...
In this paper we characterize the relative sensor-target geom-etry in R2 in terms of potential local...
In this paper we characterize the relative sensor-target geometry in ℝ2 in terms of potential locali...
In this paper we characterize the relative sensor-target geometry for bearing-only localization in R...
The problem of target localization involves estimating the position of a target from multiple noisy ...
In this paper we characterize the relative sensor-target geometry for bearing-only localization in ℝ...
In this paper we characterize the bounds on localization accuracy in signal strength based localizat...
This paper investigates the linear separation requirements for Angle-of-Arrival (AoA) and range sens...
This paper proposes a new type of algorithm aimed at finding the traditional maximum-likelihood (TML...
This paper proposes a new type of algorithm aimed at finding the traditional maximum-likelihood (TML...
International audienceThe goal of passive source localization is to acoustically detect objects prod...
This paper investigates the linear separation requirements for range sensors in order to achieve the...
This paper proposes a new type of algorithm aimed at finding the traditional maximum likelihood esti...
Source localization plays a key role in many applications including radar, wireless and underwater c...
Abstract: This paper describes an intuitive geometric algorithm for the localization of mobile nodes...
This paper analytically characterizes optimal sensor placements for target localization and tracking...
In this paper we characterize the relative sensor-target geom-etry in R2 in terms of potential local...
In this paper we characterize the relative sensor-target geometry in ℝ2 in terms of potential locali...
In this paper we characterize the relative sensor-target geometry for bearing-only localization in R...
The problem of target localization involves estimating the position of a target from multiple noisy ...
In this paper we characterize the relative sensor-target geometry for bearing-only localization in ℝ...
In this paper we characterize the bounds on localization accuracy in signal strength based localizat...
This paper investigates the linear separation requirements for Angle-of-Arrival (AoA) and range sens...
This paper proposes a new type of algorithm aimed at finding the traditional maximum-likelihood (TML...
This paper proposes a new type of algorithm aimed at finding the traditional maximum-likelihood (TML...
International audienceThe goal of passive source localization is to acoustically detect objects prod...
This paper investigates the linear separation requirements for range sensors in order to achieve the...
This paper proposes a new type of algorithm aimed at finding the traditional maximum likelihood esti...
Source localization plays a key role in many applications including radar, wireless and underwater c...
Abstract: This paper describes an intuitive geometric algorithm for the localization of mobile nodes...
This paper analytically characterizes optimal sensor placements for target localization and tracking...