Time Difference Of Arrival (TDOA) estimates can be used for passive acoustic multiple sound source localization with microphone arrays. The TDOA estimation is based on the cross-correlation function of two signals of a microphone pair. Existing systems assume only one dominant sound source per analysis frame rejecting the localization information of other active sources present in the acoustic ...

This paper proposes an original Three-Dimensional (3-D) positioning technique based on an enhanced Chan method by investigating the performance of position estimation method by Time Difference Of Arrival (TDOA). The studied configurations assume that each mobile locates itself and so it receives and analyses signal from multiple transmitters, namely Base Station (BS). The approach is non-iterat...

In this paper, we consider real-time tracking of an Autonomous Guided Vehicle (AGV) in an indoor industrial scenario. An on-board odometer provides information about the dynamic state of the AGV, allowing to predict its pose (position and orientation). At the same time, an external Ultra Wide Band (UWB) wireless network provides the information necessary to compensate the error drift accumulate...

We present an energy-efficient wireless sensor network (WSN) architecture tailored for illegal deforestation detection. Illegal deforestation is a world-wide problem which may be prevented through improved monitoring of forested areas utilizing sensor networks equipped with chain-saw detection. Additional to detection, we identify sound source localization and sensor node localization as essent...

The curse of outlier measurements in estimation problems is a well known issue in a variety of fields. Therefore, outlier removal procedures, which enables the identification of spurious measurements within a set, have been developed for many different scenarios and applications. In this paper, we propose a statistically motivated outlier removal algorithm for time differences of arrival (TDOAs...

The problem of locating a mobile terminal has received significant attention in the field of wireless communications. Time-ofarrival (TOA), received signal strength (RSS), time-difference-of-arrival (TDOA), and angle-of-arrival (AOA) are commonly used measurements for estimating the position of the mobile station. In this paper, we present a constrained weighted least squares (CWLS) mobile posi...

In this paper, we focus on the localization of a passive source from time difference arrival (TDOA) measurements. TDOA values are computed with respect to pairs fixed sensors that required be accurately time-synchronized. This constitutes weakness as all synchronization techniques vulnerable delay injections. Attackers able either spoof signal or inject asymmetric delays in communication channe...

By taking different kinds of measurements at the same time, it may be possible to improve accuracy target localization or reduce number sensors needed. Time-of-arrival (TOA), time-difference-of-arrival (TDOA), time delay (TD), received signal strength (RSS), and angle-of-arrival (AOA) are commonly used in wireless systems. This article first presents a new weighted least squares (WLS) algorithm...

Time difference of arrival (TDOA) and frequency (FDOA) have been widely used for localizing temporally continuous signals passively. Temporal sparsity pulse makes their TDOA FDOA estimation processes much different, computational complexity is a major concern in this area. This paper addresses the problem fast focuses mainly on narrowband coherent pulses. By decoupling effects cost function loc...

Multidimensional scaling (MDS) is an attractive technique for a moving source localisation from time and frequency difference of arrival (time differences (TDOA)/frequency (FDOA)) measurements. However, its optimality has not yet been proven theoretically because the difficult Moore–Penrose pesudo-inverse operation. In addition to theoretical incompleteness MDS technique, sensor uncertainties a...