一种高灵敏度Galileo E1B/C联合捕获方法

doi:10.13229/j.cnki.jdxbgxb201705039

吉林大学学报(工学版) ›› 2017, Vol. 47 ›› Issue (5): 1617-1624.doi: 10.13229/j.cnki.jdxbgxb201705039

一种高灵敏度Galileo E1B/C联合捕获方法

罗士栋^{1, 2}, 巴晓辉¹, 王云¹, 陈杰¹

1.中国科学院微电子研究所,北京 100029;
2.中国科学院大学,北京 100049

收稿日期:2016-06-13 出版日期:2017-09-20 发布日期:2017-09-20
通讯作者: 陈杰(1963-),男,研究员,博士生导师.研究方向:通信,多媒体处理,VLSI设计.E-mail:jchen@ime.ac.cn
作者简介:罗士栋(1984-),男,助理研究员,博士研究生.研究方向:超大规模集成电路设计.E-mail:luoshidong@ime.ac.cn
基金资助:
国家自然科学基金项目(61376027)

Joint strategy for high sensitivity Galileo E1B/C signal acquisition

LUO Shi-dong^{1, 2}, BA Xiao-hui¹, WANG Yun¹, CHEN Jie¹

1.Institute of Microelectronics of Chinese Academy of Sciences, Beijing 100029, China;
2.University of Chinese Academy of Sciences, Beijing 100049, China

Received:2016-06-13 Online:2017-09-20 Published:2017-09-20

摘要/Abstract

摘要： 提出了一种基于中频回放的Galileo E1B/C联合捕获架构,该架构可以时分复用处理E1B/C信号,之后将处理结果联合起来进行判决,相比只使用E1B或E1C信号有更高的发现概率,且不增加硬件规模。同时,本文提出了一种门限结合码相位判决方法,该方法利用门限以及中频数据不同起始点多次回放间卫星信号码片相关性,弱星发现概率相比传统恒虚警率门限判决方法有较大的提高,在系统虚警率为0.002, 载噪比低至27 dB·Hz情况下,捕获轮数为2,每轮取前10个最大值,门限结合码相位判决方法发现概率接近40%,而此时传统恒虚警率门限判决方法发现概率不足10%。

关键词: 通信技术, Galileo E1信号捕获, 中频回放, 门限结合码相位, 高灵敏度

Abstract: High sensitivity acquisition architecture for Galileo E1 signal is proposed. This architecture processes E1B/C signals by time-division multiplexing, and then joins the results together. Compared with individual E1B or E1C channel acquisition, higher detection probability is achieved without the increase in hardware burden. In addition, a novel decision strategy, named threshold combining code phase, is also proposed. The strategy utilizes threshold and the code phase correlation of correct cell between multiple Intermediate Frequency (IF) data replays with different starting point of each replay. Compared with traditional threshold decision strategy based constant false alarm rate, the proposed strategy enhances the detection probability. When overall false probability is 0.002 and Carrier to Noise Ratio (CNR) downs to 27 dBHz, the number of acquisition rounds is 2, and the top 10 maximum values are retained in each round, the overall detection probability of the decision strategy is near 40%, while the overall detection probability of the traditional threshold decision strategy is less than 10%.

Key words: communication technology, Galileo E1 signal acquisition, IF signal replay, threshold combines with code phase, high sensitivity

中图分类号:

TN967.1

罗士栋, 巴晓辉, 王云, 陈杰. 一种高灵敏度Galileo E1B/C联合捕获方法[J]. 吉林大学学报(工学版), 2017, 47(5): 1617-1624.

LUO Shi-dong, BA Xiao-hui, WANG Yun, CHEN Jie. Joint strategy for high sensitivity Galileo E1B/C signal acquisition[J]. 吉林大学学报(工学版), 2017, 47(5): 1617-1624.

参考文献

[1] Mattos P G. Acquisition of the Galileo OAS L1B/C signal for the massmarket receiver[C]∥ION GNSS 18th International Technical Meeting of the Satellite Division, Long Beach, CA, USA, 2005: 13-16.
[2] Borio D, Presti L L. Data and pilot combining for composite GNSS signal acquisition[J]. International Journal on Navigation and Observation,doi:10.1155/2008/738183.
[3] Ta T H, Dovis F, Lesca R, et al. Comparison of joint data/pilot high-sensitivity acquisition strategies for indoor Galileo E1 signal[C]∥European Navigation Conference ENC-GNSS, Toulouse, France, 2008: 23-25.
[4] Adina Burian, Elena Simona Lohan, Markku Renfors. BPSK-like Methods for Hybrid-Search Acquisition of Galileo Signals[C]∥IEEE International Conference on Communications, Istanbul, Turkey, 2006:5211-5216.
[5] Dovis F,Lesca R,Boiero G,et al.A test-bed implementation of an acquisition system for indoor positioning[J].GPS Solution,2010,14(3):241-253.
[6] Musumeci L, Dovis F. Design of a very high sensitivity acquisition system for a space GNSS receiver[C]∥IEEE/ION Position, Location and Navigation Symposium, Monterey, CA, 2014:556-568.
[7] Choi I H, Park S H, Cho D J, et al. A novel weak signal acquisition scheme for assisted GPS[C]∥15th Int Technical Meeting of the Satellite Division of the Institute of Navigation, Portland, OR, USA,2002:177-183.
[8] Parks S H, Choi I H, Lee S J, et al. A novel GPS initial synchronization scheme using decomposed differential matched filter[C]∥2002 National Technical Meeting of the Institute of Navigation, San Diego, CA, USA, 2002:246-253.
[9] Schmid A, Neubauer A. Perfomance evaluation of differential correlation for single shot measurement positioning[C]∥17th Int Technical Meeting of the Satellite Division of the Institute of Navigation, Long Beach, CA, 2004:1998-2009.
[10] Yu W, Zhen B, Watson R, et al. Differential combining for acquiring weak GPS signals[J]. Signal Process, 2007, 87 (5): 824-840.
[11] Kim Binhee, Kong Seung-Hyun. Two-dimensional compressed correlator for fast acquisition of CBOC-modulated signal in GNSS[C]∥IEEE/ION Position, Location and Navigation Symposium, Monterey, CA, 2014:818-822.
[12] Dovis F, Presti L L, Fantino M, et al. Comparison between Galileo CBOC candidates and BOC(1,1) in terms of detection performance[J]. Int J Navig Obs,2008(2):83-88.
[13] 巴晓辉. GPS基带接收机算法及其SoC芯片实现研究[D].北京:中国科学院微电子研究所,2007.
Ba Xiao-hui. Research on algorithm and SoC implementation of GPS baseband receiver[D].Beijing: Institute of Microelectronics of Chinese Academy of Sciences,2007.
[14] 李健,陈杰.一种改进的北斗卫星信号并行捕获方法[J].宇航学报, 2014,35(11):1299-1305.
Li Jian,Chen Jie. An improved parallel acquisition method for BDS signals[J].Journal of Astronautics,2014,35(11):1299-1305.
[15] Borio D, Cmoriano L, Presti L L. Impact of GPS acquisiton strategy on decision probabilities[J]. IEEE Transactions on Aerospace and Electronic Systems, 2008, 44(3): 996-1011.

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一种高灵敏度Galileo E1B/C联合捕获方法

Joint strategy for high sensitivity Galileo E1B/C signal acquisition

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