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微弱GPS信号的翻转位预测捕获算法
引用本文:李卫斌,张迎新,郭新明,张伟.微弱GPS信号的翻转位预测捕获算法[J].计算机应用,2013,33(12):3473-3476.
作者姓名:李卫斌  张迎新  郭新明  张伟
作者单位:1. 西安科技大学 电气与控制工程学院,西安 710054;2. 咸阳师范学院 信息工程学院,陕西 咸阳 712000
基金项目:陕西省自然科学基金资助项目;科技部创新基金资助项目;陕西省重大科技创新工程资助项目;陕西省科技计划项目;陕西省教育厅基金课题资助项目;咸阳师范学院专项科研基金资助项目
摘    要:微弱全球定位系统(GPS)卫星信号的捕获需要较长的积分时间,但受导航数据位翻转的影响,一般采用10ms的相干积分。为进一步提高捕获灵敏度,提出了一种数据位翻转预估算法,该算法通过对多组信号积分结果的对比估算出翻转位的位置,舍弃存在位翻转的5ms数据从而消除其影响,并对其余数据进行15ms的分块相干积分。同时,为降低分块相干积分中非相干积分的平方损耗,采用差分相干积分对其进行改进,并在运算过程中采用“先累加后相关”的方式,在进一步提高捕获灵敏度的同时降低运算复杂度。仿真结果表明,该算法能高效地捕获到信噪比低至-50dB的信号,可有效地提高GPS接收机的捕获灵敏度和捕获效率。

关 键 词:弱信号检测  捕获  位翻转  高灵敏度  捕获效率  
收稿时间:2013-06-03
修稿时间:2013-07-31

Bit-flipping prediction acquisition algorithm of weak GPS signal
LI Weibin ZHANG Yingxin GUO Xinming ZHANG Wei.Bit-flipping prediction acquisition algorithm of weak GPS signal[J].journal of Computer Applications,2013,33(12):3473-3476.
Authors:LI Weibin ZHANG Yingxin GUO Xinming ZHANG Wei
Affiliation:1. School of Electrical and Control Engineering, Xi'an University of Science and Technology, Xi'an Shaanxi 710054, China2. School of Information Engineering, Xianyang Normal University, Xianyang Shaanxi 712000, China
Abstract:Long coherent integration duration is needed for weak Global Positioning System (GPS) signal acquisition. However, it is limited in 10ms by the navigation data bit flipping, which is far from enough. To further improve the acquisition sensitivity, a bit-flipping prediction algorithm was proposed. Firstly, the 5ms signal with possible involve bit-flipping, which was detected through the comparison of the coherent integration results of the several blocks of data, was canceled. Then coherent integration was applied to its sub-block signal in rest 15ms and the results did differential coherent integration to overcome its bit-flip and reduced the square loss of non-coherence. At the same time, the summation operation was done ahead of coherent integration to depress its computational complexity. The theoretical research and simulation results show that the acquisition sensitivity and acquisition efficiency have been improved, and the algorithm even can capture the weak signal with Signal-to-Noise Ratio (SNR) less than -50dB.
Keywords:weak signal detection                                                                                                                          acquisition                                                                                                                          bit-flipping                                                                                                                          high sensitivity                                                                                                                          acquisition efficiency
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