Implementation of Matched Filter Based DSSS Digital GPS Receiver
Journal Title: International Journal of Advanced Research in Computer Engineering & Technology(IJARCET) - Year 2012, Vol 1, Issue 5
Abstract
The Global Positioning System (GPS) is a satellite-based radio navigation system made up of a network of 24 satellites placed in an orbit by the US Department of Defense. GPS was originally intended for military applications, but now it is freely available to all. For anyone with a GPS receiver, the system will provide location and time. GPS provides accurate location and time information for an unlimited number of people in all weather, day and night, anywhere in the world. The GPS is made up of three parts: satellites orbiting the Earth; control and monitoring stations on Earth; and the GPS receivers owned by users. GPS satellites broadcast signals from space that are picked up and identified by GPS receivers. Each GPS receiver then provides three-dimensional location (latitude, longitude, and altitude) plus the time.GPS receivers incorporate Direct Sequence Spread Spectrum (DSSS) Techniques in their analysis. Traditionally, GPS receiver has been a chip set, consisting of two or more chips. With the advances in Integrated Circuit technology there is a trend towards a single chip solution, which is advantageous in many ways. Such a chip will help integration of a variety of applications from cell phones to wrist watches. It involves a high level of design integration. In this digital GPS signal receiver for a system on chip application is designed using VHDL aiming for FPGA synthesis. The digital GPS signal receiver takes data in digital form and performs the demodulation and dispreading of C/A code and outputs the navigational data bits. Various communication sub blocks such as C/A code generator, BPSK demodulator, correlator and threshold detector are modeled in VHDL and simulated using Modelsim. A four channel receiver is to be modeled and tested with four satellite signal mixed input added with AWGN (Additive White Gaussian Noise).All the modules functionality is verified with Modelsim simulator. Xilinx ISE tools are used for FPGA synthesis, Place & Route and timing analysis. Spartan 3E development board with Chipscope Pro tools is used for on chip analysis and debugging.
Authors and Affiliations
V. SRIDHAR , T. NAGALAXMI , M. V BRAMHANANDA REDDY , M. SUNITHA RANI , M. RENUKA5
An Efficient Iris Feature Encoding and Pattern Matching for Personal Identification
Recognize people identity becomes an essential problem, Iris based biometric system provides accurate personal identification. Feature encoding and pattern matching are major task in the iris recognition. In our prop...
Data Mining in Clinical Decision Support Systems for Diagnosis, Prediction and Treatment of Heart Disease
Medical errors are both costly and harmful. Medical errors cause thousands of deaths worldwide each year. A clinical decision support system (CDSS) offers opportunities to reduce medical errors as well as to improv...
Enhancement of the Security of a Digital Image using the Moduli Set
Digital images have found usage in many applications. These images may contain confidential information and need to be protected when stored on memory or transmitted over networks. Many techniques have been proposed...
Data-warehousing on Cloud Computing
Our everyday data processing activities create massive amounts of data.Cloud Computing has emerged as a new paradigm for hosting and delivering services over the internet. Cloud computing is attractive to busin...
A Comparative Analysis of Feed-Forward and Elman Neural Networks for Face Recognition Using Principal Component Analysis
Abstract—In this paper we give a comparative analysis of performance of feed forward neural network and elman neural network based face recognition. We use different inner epoch for different input pattern according to t...