Software Receiver Design Research Articles

IRNSS/NavIC software receiver design with squared correlators code discriminator (SCCD) multipath mitigation method

IRNSS/NavIC software receiver design with squared correlators code discriminator (SCCD) multipath mitigation method

Multi-GNSS Software Receiver Design Optimization for Accuracy Improvement

Abstract: Recently, tremendous research has been conducted on Global navigation satellite systems (GNSS) software receivers to better serve the current challenging environments that suffers from multipath fading. Therefore, the development of GNSS receivers has seen a new rush toward a multi-GNSS as a solution for fading problems. In this paper, a multi-GNSS software receiver is designed, optimized, and its performance is presented. The implemented software receiver covers three different signals from two GNSS constellations, namely GPS L1, GPS L2, and Galileo E1. In this paper. the fundamentals of stages of GNSS signal reception (acquisition, tracking, and navigation) are discussed where each stage is customized and optimized for each considered signal and the stage of mutli-GNSS data combination is optimized afterword. The performance of the optimized multi-GNSS software receiver is examined under different combination scenarios where the Least-Square Estimation (LSE) method using precise positioning (PP) algorithms is adopted. Results showed that using multi-GNSS receiver enhances the accuracy of Position, Velocity, and Timing (PVT) solution. Keywords: GNSS, PVT, GPS, Galileo, and accuracy

Software receiver design for GNSS‐R using multiple GNSS satellites as transmitters

A novel global navigation satellite system-reflectometry (GNSS-R) software receiver and its preliminary experimental results are presented in this study. The antenna systems, the multi-channel radio-frequency front end, and the digital signal processing unit of this receiver are described in detail. With this developed software receiver, the signals in the Global Positioning System L1 band (GPS L1), BeiDou-2 B1, GLObal NAvigation Satellite System L1, and Galileo E1 bands can be tracked and used as the transmissions of GNSS-R to obtain more information about the scattering properties of ground objects. The preliminary experimental results show that various GNSS signals can be successfully acquired and tracked by this receiver. Furthermore, when it was applied to the soil moisture estimation with the ground-based GNSS-R technique, a relative measure error of 5.79 and 1.39% can be obtained with GPS L1 and BeiDou-2 B1 signals, respectively, by comparing the retrieval results with the measuring results provided by a moisture metre.

Applied Technology in "GNSS if Signal Acquisition System" and Software Receiver Design

The paper completed the software and hardware design of GNSS intermediate frequency signal acquisition system under Linux operating system, realized the GNSS software receiver under Linux. Basing on QT C++ graphical user interface application development framework and Qwt plug-in, the software and data graphical display interface was also accomplished. By caching the data of RF module and controlling read and write signals of CY7C68013A through FPGA, the high-speed data transmission function was completed. The test results show that the data transmission rate of this data acquisition system can reach more than 200 Mbps, software receiver satisfies the requirement of positioning accuracy, has good flexibility and higher adaptability, and the algorithm of which was easy to be expanded and upgraded.

Software Receiver Design for Galileo Signals

The article presents a new concept of softwarebased GNSS receivers because of its advantages in flexibility and possibility of reconfiguration. The aim is to develop a receiver for navigation signals of the Galileo system testbed, the Giove-A and Giove-B. The receiver must be able to acquire, track and demodulate signals "BOC" system. For this test different techniques, both in the acquisition and follow-up. Also developed a configurable signal generator for testing and a graphical user interface to manage the receiver easily. The results show that the signals can be acquired successfully with a front-end narrowband GPS and conventional algorithms. Similarly, you can track and demodulate the data channel signal (E1B) using the BOCPRN configuration.