This survey paper describes the concept of Wireless Sensor Networks (WSNs), Machine
Learning (ML) and their applications on various fields of smart agriculture. Here we first …

Numerous challenges in automotive production lead to an increased need for transparency
and optimization. Real-Time-Location-Systems (RTLS) is a key tool for achieving this goal …

With the increasing demand for location-based services in indoor environments, research on
indoor localization technology has become an urgent need. In complex indoor …

In recent years, direct position determination (DPD) with multiple arrays for non-circular (NC)
signals is a hot topic to research. Conventional DPD techniques with spectral peak search …

Multiple-input multiple-output (MIMO) technique has been drawing extensive attention for its
spatial diversity to enhance the performance in the target localization. Considering a fully …

WiFi localization based on channel state information (CSI) fingerprints has become the
mainstream method for indoor positioning due to the widespread deployment of WiFi …

Wi-Fi based indoor localization has gained much attention around the globe due to its
widespread reach and availability. Amongst several possible approaches using Wi-Fi …

Without the estimation of the intermediate parameters, the direct position determination
(DPD) method can achieve higher localization accuracy than conventional two-step …

In this paper, a deep learning based localization scheme is proposed for unmanned aerial
vehicle (UAV) aided wireless sensor networks (WSN s), The scheme contains two …

当既定侦察区域存在多个数目未知且信号参数相似的脉冲串辐射源信号时,
采用经典的多目标定位算法和直接定位算法(DPD) 均无法对多个辐射源信号进行精确定位 …