scholarly journals A Decoupled Direct Positioning Algorithm for Strictly Noncircular Sources Based on Doppler Shifts and Angle of Arrival

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 34449-34461 ◽  
Author(s):  
Tianzhu Qin ◽  
Zhiyu Lu ◽  
Bin Ba ◽  
Daming Wang
Keyword(s):  
Angle Of Arrival ◽  
Doppler Shifts ◽  
Positioning Algorithm

scholarly journals A Novel Positioning System Based on Coverage Area Pruning in Wireless Sensor Networks

Sensors ◽  
2018 ◽  
Vol 18 (12) ◽  
pp. 4469 ◽  
Author(s):  
Shih-Chang Huang ◽  
Fu-Gong Li
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Positioning System ◽  
Angle Of Arrival ◽  
Coverage Area ◽  
Received Signal Strength Indicator ◽  
Centroid Point ◽  
Positioning Algorithm

Wireless sensor networks are commonly applied in environmental monitoring applications. The crucial factor in such applications is to accurately retrieve the location of a monitoring event. Although many technologies have been proposed for target positioning, the devices used in such methods require better computational abilities or special hardware that is unsuitable for sensor networks with limited ability. Therefore, a range-free positioning algorithm, named coverage area pruning positioning system (CAPPS), is proposed in this study. First, the proposed CAPPS approach determines the area that includes the target approximately by using sensor nodes that can detect the target. Next, CAPPS uses sensor nodes that cannot detect the target to prune the area to improve positioning accuracy. The radio coverage variation is evaluated in a practical scenario, and a heuristic mechanism is proposed to reduce false positioning probability. Simulation results show that the size of the positioning area computed by CAPPS is smaller than that computed using distance vector hop, angle of arrival, and received signal strength indicator by approximately 98%, 97%, and 93%, respectively. In the radio variation scenario, the probability of determining an area excluding the target can be reduced from 50%–95% to 10%–30% by applying the proposed centroid point mechanism.

A Localization Algorithm of Multi-Hop Three Dimensional AOA with Space-Based Angle Transmission and its Application

2013 ◽  
Vol 756-759 ◽  
pp. 3562-3567
Author(s):  
Qing Zhang Chen ◽  
Yun Feng Ni ◽  
Xing Hua Li ◽  
Rong Jie Wu ◽  
Yan Jing Lei ◽  
...  
Keyword(s):  
Three Dimensional ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Localization Algorithm ◽  
Angle Of Arrival ◽  
Terrain Modeling ◽  
Terrain Model ◽  
Anchor Nodes ◽  
Slow Progress ◽  
Positioning Algorithm

Wireless sensor node's localization is a funda-mental technology in Wireless Sensor Networks. There are only quite a few study on three-dimensional (3D) localization which is suffered in slow progress, actually, is one of the main difficulties in WSN localization. Based on the study of the existing two-dimensional positioning algorithm and the application of terrain modeling, localization algorithm for sensor nodes in (3D) condition has been focus on as well as the application of terrain model. Using the idea proposed by representative algorithm--APS multi-hop AOA (Angle of Arrival), this paper proposed a new algorithm named Multi-hop Three Dimensional AOA With Space-based Angle Trans-mission (MSAT3D AOA). Using this technology, target nodes can use information of anchor nodes which are more than one hop away form. This paper also combined MSAT3D AOA algorithm with Delaunay triangulation algorithm for terrain modeling.

scholarly journals Multi-Constellation Software-Defined Receiver for Doppler Positioning with LEO Satellites

Sensors ◽  
2020 ◽  
Vol 20 (20) ◽  
pp. 5866
Author(s):  
Farzan Farhangian ◽  
René Landry
Keyword(s):  
Line Element ◽  
Low Earth Orbit ◽  
Receiver Design ◽  
Orbital Elements ◽  
Doppler Shifts ◽  
Localization Algorithms ◽  
Adaptive Measurement ◽  
Doppler Tracking ◽  
Downlink Signal ◽  
Positioning Algorithm

A Multi-Constellation Software-Defined Receiver (MC-SDR) is designed and implemented to extract the Doppler measurements of Low Earth Orbit (LEO) satellite’s downlink signals, such as Orbcomm, Iridium-Next, Globalstar, Starlink, OneWeb, SpaceX, etc. The Doppler positioning methods, as one of the main localization algorithms, need a highly accurate receiver design to track the Doppler as a measurement for Extended Kalman Filter (EKF)-based positioning. In this paper, the designed receiver has been used to acquire and track the Doppler shifts of two different kinds of LEO constellations. The extracted Doppler shifts of one Iridium-Next satellite as a burst-based simplex downlink signal and two Orbcomm satellites as continuous signals are considered. Also, with having the Two-Line Element (TLE) for each satellite, the position, and orbital elements of each satellite are known. Finally, the accuracy of the designed receiver is validated using an EKF-based stationary positioning algorithm with an adaptive measurement matrix. Satellite detection and Doppler tracking results are analyzed for each satellite. The positioning results for a stationary receiver showed an accuracy of about 132 m, which means 72% accuracy advancements compared to single constellation positioning.

scholarly journals Specific emitter identification based on graphical representation of the distribution of radar signal parameters

2015 ◽  
Vol 63 (2) ◽  
pp. 391-396 ◽  
Author(s):  
J. Dudczyk ◽  
A. Kawalec
Keyword(s):  
Graphical Representation ◽  
Electromagnetic Emission ◽  
Pulse Repetition ◽  
Radar Signal ◽  
Correct Identification ◽  
Angle Of Arrival ◽  
Doppler Shifts ◽  
Basic Parameters ◽  
Specific Emitter Identification ◽  
Repetition Interval

Abstract The article presents some possibilities of same type radar copies identification with the use of graphical representation. The procedure described by the authors is based on transformation and analysis of basic parameters distribution which are measured by the radar signal especially Pulse Repetition Interval. A radar intercept receiver passively collects incoming pulse samples from a number of unknown emitters. Information such as Pulse Repetition Interval, Angle of Arrival, Pulse Width, Radio Frequency and Doppler shifts are not usable. The most important objectives are to determine the number of emitters present and classify incoming pulses according to emitters. To classify radar emitters and precisely identification the copy of the same type of an emitter source in surrounding environment, we need to explore the detailed structure i.e. intra-pulse information, unintentional radiated electromagnetic emission and fractal features of a radar signal. An emitter has its own signal structure. This part of radar signal analysis is called Specific Emitter Identification. Utilization of some specific properties of electronic devices can cause heightening probability of a correct identification

scholarly journals Performance Analysis of Single-Step Localization Method Based on Matrix Eigen-Perturbation Theory with System Errors

Electronics ◽  
2019 ◽  
Vol 8 (2) ◽  
pp. 235
Author(s):  
Tianzhu Qin ◽  
Bin Ba ◽  
Daming Wang
Keyword(s):  
Perturbation Theory ◽  
Performance Analysis ◽  
Antenna Arrays ◽  
Single Step ◽  
Angle Of Arrival ◽  
Step Method ◽  
Doppler Shifts ◽  
Localization Precision ◽  
System Errors ◽  
Step Localization

Direct position determination (DPD) is a novel technique in passive localization field recently, receiving superior localization performance compared with the conventional two-step method. The DPD estimator using Doppler shifts is first proposed by Weiss, but it is not suitable for antenna arrays. Additionally, the performance analysis of this method with system errors is absent. This study discusses the single-step localization problem based on moving arrays and exhibits the performance analysis via matrix eigen-perturbation theory with system errors. First, the DPD method using angle of arrival and Doppler shifts is introduced. Then, by adding the eigenvalue perturbations to the estimated Hermitian matrix, the asymptotic linear formulation of localization errors is derived. Consequently, the mean square error of the DPD method is available. Finally, Cramér–Rao bound without system errors is presented, providing a benchmark for the best localization precision and revealing the influence of system errors on the localization precision. Simulation results demonstrate the theoretical analysis in this study.

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