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c-gps
- 以前用VB，C#等很轻松将GPS信息解码。但是最近要使用C语言，（网上有一个VC的按位解的）苦于C操作字符串的难度，请各位大侠放出一份C代码解GPS。 我先贴上我用C解的代码，是直接将VB和C#的思路转过来的。 现在可以读出经度或纬度-before using VB, C#, etc. is easy to decode the GPS information. However, the recent use of C language, (the Internet by a VC-So
easy_suite
- 此源码为gps单点定位算法的matlab源代码,第一次写的,不足之处请各位大虾多多指教.-This single point source for the gps positioning algorithm matlab source code, the first written inadequacies please prawn exhibitions.
NMEA_Simulator
- This code outputs various NMEA strings to a com port. The code was originally used to test naviation programmes. First select the required com port and the required NMEA message string. There is a default starting position but this can be c
DesignoftrackingloopofGPSsoftwarereceiver
- 本文在分析GPS 软件接收机跟踪原理的基础上，首先比较码环与载波环不同鉴相器的性能，然后对二阶锁相环中不同环路参数设下的跟踪效果进行仿真分析，最后设计 了合适的码环与载波环路，并用实际采集的GPS 数据论证了所设计环路的有效性，为GPS 软件接收机跟踪环路的设计提供了参考。-Based on the analysis of GPS receiver tracking software on the basis of the principle, first compare the diffe
GPS
- 一种新的改进算法，对采样数据先进行累加积分，然后做相关运算，可以有效地降低相关次数，使得捕获速度得到明显提高。这种研究方法也适用于其他系统的伪随机码的捕获研究。-A new improved algorithm, the sampled data points to accumulate first, then do related operations, can effectively reduce the number of relevant, making the capture rate
code-of-GNSS-sofe-receiver
- 本书面向应用与编程设计、在参考国内外论著的基础上，结合作者自己的研究成果撰写。内容上由浅人深，第一章介绍了GNSS软件接收机的研究背景和各种卫星导航系统。第二章介绍了信号处理的一些相关概念。第三章介绍了卫星运动的基本理论。第四章研究GNSS信号，包括伪随机码信号、导航电文，着重以GPS和Galileo系统为例进行讨论。第五章研究了GNSS接收机的前端技术，包括天线和信号下变频原理。第六章探讨卫星信号的捕获技术。第七章讨论卫星信号的跟踪、解调和伪距计算。第八章探讨导航定位解算方法。第九章简要介绍了
GPS-easysuit
- matlab处理GPS数据的学习用代码。共5个部分附带说明书。包括第一部分GPS时间系统、第二部分Rinex文件读取、第三部分接收机的地心地固位置计算、第四部分基于伪距码的基线解算、第五部分双差解算-GPS data processing matlab learning with the code. A total of five parts with manual. GPS time system includes a first portion, a second portion Rinex
PAIRED-M-SEQUENCES
- generation of gold code using two maximal length (m seq) sequences. first we need to generate two maximal length sequences and then we have to xor those , we get gold code
aragon08 (2).pdf
- this research paper we present an immunological algorithm (IA) to solve global numerical optimization problems for high-dimensional instances. Such optimization problems are a crucial component for many real-world applications. We designed two versio