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| 改进的高动态高灵敏度GPS信号捕获算法 | |
| 引用本文： | 马永奎,张一,张中兆,马广富. 改进的高动态高灵敏度GPS信号捕获算法[J]. 系统工程与电子技术, 2009, 31(2): 265-269 |
| 作者姓名： | 马永奎 张一 张中兆 马广富 |
| 作者单位： | 1. 哈尔滨工业大学通信技术研究所, 黑龙江, 哈尔滨, 150001;2. 中国空间技术研究院卫星应用系统部, 北京, 100086;3. 哈尔滨工业大学控制科学与工程系, 黑龙江, 哈尔滨, 150001 |
| 摘 要： | 首先介绍弱GPS信号定义和影响因素,指出要想实现弱信号条件下的捕获,必须增加处理增益.要提高增益,就要进行累积,而累积最重要的限制就是导航电文的变化、多谱勒频偏的影响以及非相干累积的平方损失.而高动态又必须考虑累积时间与多普勒补偿的均衡.针对这些因素,指出在弱信号条件下,FFT捕获较传统算法更具有优势.采用差分累积提高累积时间并减轻了非相干累积平方增益损失.半比特搜索法能够估计出导航数据的最佳组合,实现很长时间的相干积分.高动态高灵敏度情况下,还必须考虑补偿码多谱勒的影响.提出一套完整的弱信号处理方案,采用Monter·Carlo方法进行仿真,实验结果验证了该算法的有效性. |
| 关 键 词： | 灵敏度 高动态 频域FFT相关 差分累积 |
| 收稿时间： | 2007-11-13 |
| 修稿时间： | 2008-04-08 |
Modified method of high dynamic & high sensitivity GPS signal acquisition |
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| MA Yong-kui,ZHANG Yi,ZHANG Zhong-zhao,MA Guang-fu. Modified method of high dynamic & high sensitivity GPS signal acquisition[J]. System Engineering and Electronics, 2009, 31(2): 265-269 | |
| Authors: | MA Yong-kui ZHANG Yi ZHANG Zhong-zhao MA Guang-fu |
| Affiliation: | 1. Communication Research Center, Harbin Inst. of Technology, Harbin 150001, China;2. Satellite Application System Dept., China Academy of Space Technology, Beijing 100086, China;3. Dept. of Control Science & Engineering, Harbin Inst. of Technology, Harbin 150001, China |
| Abstract: | The definition of the weak signal and the influence factors are discussed.In order to acquire the weak signal,a high gain must be gained,and a long integration time is needed.As regards the long integration time,the most challenging problems are navigation data transitions,Doppler frequency errors square loss caused by non-coherent integration.In high dynamic weak signal environments,the balance of the integration time and Doppler compensation must be considered.After analysing those,FFT acquisition has more superior than traditional ways.Different coherent integration can improve the integration time and remove square loss very well.The half-bit method with the estimation of bit transitions can well estimate the bit transitions.Code Doppler compensation must be done in high dynamic weak signal environments.An improved weak signal acquisition method is proposed and simulation results prove the proposed method by means of Monter Carlo. |
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