Full Text:   <1592>

CLC number: TN96

On-line Access: 2011-02-08

Received: 2010-05-03

Revision Accepted: 2010-09-26

Crosschecked: 2011-01-14

Cited: 1

Clicked: 3493

Citations:  Bibtex RefMan EndNote GB/T7714

-   Go to

Article info.
1. Reference List
Open peer comments

Journal of Zhejiang University SCIENCE C 2011 Vol.12 No.2 P.132-139

10.1631/jzus.C1000132


Effect of chip rate on the ranging accuracy in a regenerative pseudo-noise ranging system


Author(s):  Jian-wen Jiang, Wei-jun Yang, Chao-jie Zhang, Xiao-jun Jin, Zhong-he Jin

Affiliation(s):  Department of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China

Corresponding email(s):   jwjiang@zju.edu.cn, zhangcj@zju.edu.cn

Key Words:  Ranging accuracy, Range jitter, Time delay discrimination, Sample-to-chip rate ratio, Integration time, Autocorrelation function, Fractional chip period delay


Jian-wen Jiang, Wei-jun Yang, Chao-jie Zhang, Xiao-jun Jin, Zhong-he Jin. Effect of chip rate on the ranging accuracy in a regenerative pseudo-noise ranging system[J]. Journal of Zhejiang University Science C, 2011, 12(2): 132-139.

@article{title="Effect of chip rate on the ranging accuracy in a regenerative pseudo-noise ranging system",
author="Jian-wen Jiang, Wei-jun Yang, Chao-jie Zhang, Xiao-jun Jin, Zhong-he Jin",
journal="Journal of Zhejiang University Science C",
volume="12",
number="2",
pages="132-139",
year="2011",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.C1000132"
}

%0 Journal Article
%T Effect of chip rate on the ranging accuracy in a regenerative pseudo-noise ranging system
%A Jian-wen Jiang
%A Wei-jun Yang
%A Chao-jie Zhang
%A Xiao-jun Jin
%A Zhong-he Jin
%J Journal of Zhejiang University SCIENCE C
%V 12
%N 2
%P 132-139
%@ 1869-1951
%D 2011
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.C1000132

TY - JOUR
T1 - Effect of chip rate on the ranging accuracy in a regenerative pseudo-noise ranging system
A1 - Jian-wen Jiang
A1 - Wei-jun Yang
A1 - Chao-jie Zhang
A1 - Xiao-jun Jin
A1 - Zhong-he Jin
J0 - Journal of Zhejiang University Science C
VL - 12
IS - 2
SP - 132
EP - 139
%@ 1869-1951
Y1 - 2011
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.C1000132


Abstract: 
The ranging accuracy of a pseudo-noise ranging system is mainly decided by range jitter and time delay discrimination. Many factors can affect the ranging accuracy, one of which is the chip rate. In digital signal processing, the time delay discrimination and autocorrelation function of sampled ranging sequences of different chip rates are very different. An approximation simulation model is established according to an in-phase quadrature (I/Q) correlator which is used to evaluate the time delay. Simulation results of the range jitter and time delay discrimination show that the chip rate which provides a non-integer sample-to-chip rate ratio can achieve a higher ranging accuracy, and some test results validate the simulation model. In some design missions, the simulation results may help to select an optimum sample-to-chip rate ratio to satisfy the design requirement on the ranging accuracy.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

[1]Berner, J.B., Layland, J.M., Kinman, P.W., Smith, J.R., 1999. Regenerative Pseudo-Noise Ranging for Deep-Space Applications. TMO Progress Report 42-137, Jet Propulsion Laboratory, Pasadena, CA.

[2]Boscagli, G., Holsters, P., Simone, L., Vassallo, E., Visintin, M., 2007. Regenerative Pseudo-Noise Ranging: Overview of Current ESA’s Standardisation Activities. 4th ESA Int. Workshop on Tracking, Telemetry and Command Systems for Space Applications, p.1-20.

[3]CCSDS 414.0-G-1, 2010. Report Concerning Space Data System Standards. Pseudo-Noise (PN) Ranging Systems, Green Book. Available from http://public.ccsds.org/publications/archive/414x0g1.pdf [Accessed on Apr. 16, 2010].

[4]Ding, F., Chen, T.W., 2007. Performance analysis of multi-innovation gradient type identification methods. Automatica, 43(1):1-14.

[5]Ding, F., Liu, P.X., Yang, H.Z., 2008. Parameter identification and intersample output estimation for dual-rate systems. IEEE Trans. Syst. Man Cybern. Syst. Humans, 38(4):966-975.

[6]Ding, F., Liu, P.X., Liu, G.J., 2009a. Auxiliary model based multi-innovation extended stochastic gradient parameter estimation with colored measurement noises. Signal Process., 89(10):1883-1890.

[7]Ding, F., Qiu, L., Chen, T.W., 2009b. Reconstruction of continuous-time systems from their non-uniformly sampled discrete-time systems. Automatica, 45(2):324-332.

[8]Ding, F., Liu, P.X., Liu, G.J., 2010. Gradient based and least-square based iterative identification methods for OE and OEMA systems. Dig. Signal Process., 20(3):664-677.

[9]Hamkins, J., 1999. Ranging Considerations for the MCAS Transceiver. Interoffice Memorandum, Jet Propulsion Laboratory, Pasadena, CA, USA, p.1-12.

[10]Han, L.L., Ding, F., 2009. Multi-innovation stochastic gradient algorithms for multi-input multi-output systems. Dig. Signal Process., 19(4):545-554.

[11]Holsters, P., Boscagli, G., Vassallo, E., 2008. Pseudo-Noise Ranging for Future Transparent and Regenerative Channels. SpaceOps Conf., No. AIAA-2008-3277.

[12]Kinman, P.W., Berner, J.B., 2003. Two-Way Ranging During Early Mission Phase. IEEE Aerospace Conf., No. 1061.

[13]Liu, Y.J., Xie, L., Ding, F., 2009a. An auxiliary model based on a recursive least-squares parameter estimation algorithm for non-uniformly sampled multirate systems. J. Syst. Control Eng., 223(4):445-454.

[14]Liu, Y.J., Xiao, Y.S., Zhao, X.L., 2009b. Multi-innovation stochastic gradient algorithm for multiple-input single-output systems using the auxiliary model. Appl. Math. Comput., 215(4):1477-1483.

[15]Massey, J.L., Boscagli, G., Vassallo, E., 2007. Regenerative pseudo-noise (PN) ranging sequences for deep-space missions. Int. J. Sat. Commun., 25(3):285-304.

[16]Quirk, K.J., Srinivasan, M., 2006. PN code tracking using noncommensurate sampling. IEEE Trans. Commun., 54(10):1845-1856.

[17]Ruggier, C.J., Berner, J.B., Kinman, P.W., 2004. 214 Pseudo-Noise and Regenerative Ranging. DSMS Telecommunications Link Design Handbook 810-005 (Revision E. Second), Jet Propulsion Laboratory, Pasadena, CA, USA, p.1-35.

[18]Wang, B., 2004. The application of residues theorem in the complex pseudorandom code range detection system. Radio Eng. China, 34(8):23-24 (in Chinese).

[19]Wang, D.Q., Ding, F., 2010. Performance analysis of the auxiliary models based multi-innovation stochastic gradient estimation algorithm for output error systems. Dig. Signal Process., 20(3):750-762.

Open peer comments: Debate/Discuss/Question/Opinion

<1>

Please provide your name, email address and a comment





Journal of Zhejiang University-SCIENCE, 38 Zheda Road, Hangzhou 310027, China
Tel: +86-571-87952783; E-mail: cjzhang@zju.edu.cn
Copyright © 2000 - Journal of Zhejiang University-SCIENCE