Precision Limits of Low-Energy GNSS Receivers

被引:0
作者
Pesyna, Kenneth M., Jr. [1 ]
Heath, Robert W., Jr. [1 ,2 ,3 ]
Humphreys, Todd E. [4 ]
机构
[1] Univ Texas Austin, Dept Elect & Comp Engn, Austin, TX 78712 USA
[2] Univ Texas Austin, Engn 6, Austin, TX 78712 USA
[3] Univ Texas Austin, Wireless Networking & Commun Grp, Austin, TX 78712 USA
[4] Univ Texas Austin, Dept Aerosp Engn & Engn Mech, Austin, TX 78712 USA
来源
PROCEEDINGS OF THE 26TH INTERNATIONAL TECHNICAL MEETING OF THE SATELLITE DIVISION OF THE INSTITUTE OF NAVIGATION (ION GNSS 2013) | 2013年
关键词
PART I;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Limitations on position-time precision are analyzed in energy-constrained GNSS receivers. The goal of this work is to determine the combination of sampling rate, number of quantization bits, number of satellites tracked, and coherent integration time that maximizes the position-time precision under a fixed low-energy constraint. In this paper, only the measurement errors due to spectrally flat Gaussian thermal noise are considered. Analytical expressions relating the foregoing parameters to precision and energy consumption are developed. Based on these expressions, a constrained optimization problem is formulated. Optimal solutions indicate that under a tight energy constraint energy should be allocated toward increasing the sampling rate at the expense of the other parameters. Moreover, the quantization resolution should be set above 1-bit only under an energy surplus. Interestingly, optimum settings under tight energy constraints approximately match those chosen by the designers of energy efficient commercial GNSS receivers.
引用
收藏
页码:2828 / 2834
页数:7
相关论文
共 23 条
[1]  
[Anonymous], 2013, DAT NEO 7 GPS GNSS M
[2]  
[Anonymous], 2010, Proceedings of the 8th international conference on Mobile systems, applications, and services, MobiSys '10
[3]  
Axelrad P., 1996, Global Positioning System, V1, P409
[4]  
Bar-Shalom Y., 2004, Estimation with applications to tracking and navigation: Theory algorithms and software
[5]   Generalized Theory of Code Tracking with an Early-Late Discriminator Part I: Lower Bound and Coherent Processing [J].
Betz, John W. ;
Kolodziejski, Kevin R. .
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2009, 45 (04) :1538-+
[6]  
Braasch M. S., 1994, Navigation. Journal of the Institute of Navigation, V41, P415
[7]   Spread-spectrum ranging multipath model validation [J].
Braasch, MS ;
DiBenedetto, MF .
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2001, 37 (01) :298-304
[8]  
Carroll Aaron, 2010, P 2010 USENIX C USEN, V14, P21
[9]  
Chia-Hsin Wu, 2011, 2011 IEEE International Solid-State Circuits Conference (ISSCC 2011), P462, DOI 10.1109/ISSCC.2011.5746398
[10]  
Curran James, 2009, Proceedings 2009 1st International Conference on Wireless Communication, Vehicular Technology, Information Theory and Aerospace & Electronic Systems Technology (Wireless VITAE), P227, DOI 10.1109/WIRELESSVITAE.2009.5172455