Data-target pairing is an important step towards multi-target localization for the intelligent operation of unmanned systems. Target localization plays a crucial role in numerous applications, such as search, and rescue missions, traffic management and surveillance. The objective of this paper is to present an innovative target location learning approach, where numerous machine learning approac...

Wireless Sensor Networks (WSNs) are vulnerable to Byzantine attacks in which malicious sensors send falsified information to the Fusion Center (FC) with the goal of degrading inference performance. Here the focus is on target localization in WSNs using quantized data where, due to power and bandwidth constraints, each sensor sends quantized data to a Fusion Center (FC). The FC combines these lo...

Traditional two-step localization methods and direct have practical problems when they are used for underwater acoustic source localization. In this paper, a method based on the feature-level information fusion is proposed, in which Hough Transform exploited to detect line characteristics of spatial features target. A secondary accumulation procedure proposed extract fuse good instead fusing al...

To improve the racking accuracy for wireless sensor networks and solve the problem of network overhead, reduce the energy consumption of nodes, analyzed existing localization and tracking algorithms, ensure that one of the core technology for wireless sensor network performance. In this paper, based on the existing localization and tracking mechanisms, the sensor node localization and target tr...

Localization is an important issue for wireless sensor networks. Target localization has attracted many researchers who work on location based services such as navigation, public transportation and so on. Localization algorithms may be performed in a centralized or distributed manner. In this paper we apply diffusion strategy to the Gauss Newton method and introduce a new distributed diffusion ...

Original scientific paper Localization and tracking of moving target is one of the research focuses of wireless sensor network applications. It has great value in military field. Researchers have proposed many algorithms to complete target localization precisely. Tri-cyclic mutual crosses method based on received signal strength indicator can skip the estimation of transmitting attenuation cons...

When there is time offset, a passive position estimation method is put forward for TOA-based sinal travel model from transmitter to receivers via target. By transforming the positioning model to linear equations which can be directly represented as algebraic solutions of target positions, the initial solution of target position is obtained by introducing the extra variables. Then the localizati...

wireless sensor networks attracting a great deal of research interest. accurate localization of sensor nodes is a strong requirement in a wide area of applications. in recent years, several techniques have been proposed for localization in wireless sensor networks. in this paper we present a localization scheme with using only one mobile anchor station and received signal strength indicator tec...

Abstract: In traditional localization methods for synthetic aperture radar (SAR), the range sum estimation and Doppler centroid estimation (DCE) are required. The DCE error can influence the localization accuracy greatly. In addition, the target height information cannot be obtained by these methods. In this paper, a three-dimensional localization method for multistatic SAR based on the numeric...

The background-weighted histogram (BWH) algorithm proposed in [2] attempts to reduce the interference of background in target localization in mean shift tracking. However, in this paper we prove that the weights assigned to pixels in the target candidate region by BWH are proportional to those without background information, i.e. BWH does not introduce any new information because the mean shift...