In the dynamic landscape of telecommunications, Macro IoT solution emerges as a beacon of innovation. This article delves into the transformative power of their telecommunication project, unveiling its impact on connectivity and IoT development.
Algorithm for Handoff in VDL mode 4:
VDL mode 4 is a digital data link operating in the VHF band, its mainly use is for the aviation industry. VDL4 can as an example provide with positioning data, speed information of aircrafts or vehicles equipped with a VDL4 transponder. A connection between the ground system and the airborne system is called a point-to-point connection, which can be used for various applications. This data link needs to be transferred between ground stations during flights in order maintain the connection, which is called handoff.
The handoff process needs to be quick enough to not drop the link and at the same time a low rate of handoffs is desirable. The data link is regarded as a narrow resource and link management data for handoff is considered as overhead.
This thesis studies how to make the handoff procedure optimal with respect to involved aspects. Previous research of handoff algorithms and models of the VHF-channel are treated. Standardized parameters and procedures in VDL4 and are explored in order to find an optimal solution for the handoff procedure in VDL4.
The studied topics are analyzed and it is concluded to suggest an algorithm based on an adaptive hysteresis including signal quality and positioning data provided in VDL4. Standardized parameters which could be useful in the handoff procedure are commented, since the VDL4 standards are under development.
Project: Automobile Projects, Electrical Projects, Telecommunications Projects, Wireless Projects
Characterization of a 5GHz Modular Radio Frontend for WLAN Based on IEEE 802.11p:
The number of vehicles has increased significantly in recent years, which causes high density in traffic and further problems like accidents and road congestions. A solution regarding to this problem is vehicle-to-vehicle communication, where vehicles are able to communicate with their neighboring vehicles even in the absence of a central base station, to provide safer and more efficient roads and to increase passenger safety.
The goal of this thesis is to investigate basic physical layer parameters of a inter-vehicle communication system, like emission power, spectral emission, error vector magnitude, guard interval, ramp-up/down time, and third order intercept point. I also studied the intelligent transportation system’s channel layout in Europe, how the interference of other systems is working in co-channel and adjacent channels, and some proposals to use the allocated frequency bands.
On the other hand, the fundamentals of OFDM transmission and definitions of OFDM key parameters in IEEE 802.11p are investigated. The focus of this work is on the measurement of transmitter front-end parameters of a new test-bed designed and fabricated in order to be used at inter-vehicle communication based on IEEE 802.11p.
- MATLAB Projects,
- Telecommunications Projects,
- Wireless Projects
Val grind on OSE:
For programmers, it is always painful and hard to identify non-fatal errors like memory leaks, out of boundary errors or data race condition with traditional debug tools e.g., GDB. Today, there are many tools available to help the programmers to find these problems. The collection of Val grind tools is a good example.
Val grinds itself is an open-source framework for debugging and profiling. It is today available for Linux, Darwin and Android, on hardware platforms such as ARM, x86 and PPC. Val grind virtualizes the user mode environment and depends on the host OS environment. This thesis explores how Val grind could be adapted to support an OSE (a real-time operation system product from ENEA software AB) target in a Linux host environment.
An Outdoor Navigation System using GPS and Inertial Platform:
The use of Global Positioning System (GPS) in outdoor localization is a quite common solution in large environments where no other references are available and positioning requirements are not so pressing. Of course, fine motion without the use of an expensive differential device is not an easy task even now that available precision has been greatly improved as the military encoding has been removed.
In this paper we present a localization algorithm based on Kalman filtering that tries to fuse information coming Forman inexpensive single GPS with inertial and, sometimes uncertain, map-based data. The algorithm is able to produce an estimated configuration for the robot that can be successfully fed back in a navigation system, leading to a motion whose precision is only related to current information quality. Some experiments show difficulties and possible solutions to this sensor fusion problem.