Loading...
Search for:
nonline-of-sight
0.009 seconds
Optimal Sensors Placement for Passive Source Localization Considering NLOS Conditions
, M.Sc. Thesis Sharif University of Technology ; Behnia, Fereidoon (Supervisor)
Abstract
Passive Location is to obtain the location and velocity of a radio source using a source-generated signal in the environment and extract its parameters, which today have many applications in controlling security activities, tracking people and vehicles, emergency services, radar, Sonar, electronic warfare, and etc. . The location of a source is obtained by using a variety of methods such as received signal strength (RSS), signal angle of arrival (AOA), signal time of arrival (TOA), time difference of arrival (TDOA), and frequency difference of arrival (FDOA) of received signals. Many studies have been done in measuring and extracting data and solving the equations. However, little research...
Design of Multi Frequency, Multi Constellation GNSS Receiver
, M.Sc. Thesis Sharif University of Technology ; Behnia, Fereidoon (Supervisor)
Abstract
With the advent of new global navigation satellite systems and the technical progress of GPS, some valuable advantages can be achieved by using a combination of data from different constellations. There are some inter system biases between two separate constellation. One has to consider these biases in order to earn better accuracy in a multi constellation receiver. One of the main sources of the error in the position estimation is the random delay of the signal in the ionosphere layer. Recently GPS has released its dual frequency feature on civilian users. Using this feature, receiver will be able to estimate ionospheric delay due to its frequency dependence. The non-line-of-sight path of...
NLOS identification in range-based source localization: statistical approach
, Article IEEE Sensors Journal ; Volume 18, Issue 9 , 1 May , 2018 , Pages 3745-3751 ; 1530437X (ISSN) ; Behnia, F ; Amiri, R ; Marvasti, F ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2018
Abstract
Least squares estimation is a widely-used technique for range-based source localization, which obtains the most probable position of mobile station. These methods cannot provide desirable accuracy in the case with a non line of sight (NLOS) path between mobile station and base stations. To circumvent this drawback, many algorithms have been proposed to identify and mitigate this error; however, they have a large run-time overhead. On the other hand, new positioning systems utilize a large set of base stations, and a practical algorithm should be fast enough to deal with them. In this paper, we propose a novel algorithm based on subspace method to identify and eliminate the NLOS error....