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.
Similar content being viewed by others
References
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.
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.
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].
Ding, F., Chen, T.W., 2007. Performance analysis of multi-innovation gradient type identification methods. Automatica, 43(1):1–14. [doi:10.1016/j.automatica.2006.07.024]
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. [doi:10.1109/TSMCA.2008.923030]
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. [doi:10.1016/j.sigpro.2009. 03.020]
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. [doi:10.1016/j.automatica.2008.08.007]
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. [doi:10.1016/j.dsp.2009.10.012]
Hamkins, J., 1999. Ranging Considerations for the MCAS Transceiver. Interoffice Memorandum, Jet Propulsion Laboratory, Pasadena, CA, USA, p.1–12.
Han, L.L., Ding, F., 2009. Multi-innovation stochastic gradient algorithms for multi-input multi-output systems. Dig. Signal Process., 19(4):545–554. [doi:10.1016/j.dsp.2008.12.002]
Holsters, P., Boscagli, G., Vassallo, E., 2008. Pseudo-Noise Ranging for Future Transparent and Regenerative Channels. SpaceOps Conf., No. AIAA-2008-3277.
Kinman, P.W., Berner, J.B., 2003. Two-Way Ranging During Early Mission Phase. IEEE Aerospace Conf., No. 1061.
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. [doi:10.1243/09596518JSCE686]
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. [doi:10.1016/j.amc.2009.07. 012]
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. [doi:10. 1002/sat.877]
Quirk, K.J., Srinivasan, M., 2006. PN code tracking using noncommensurate sampling. IEEE Trans. Commun., 54(10):1845–1856. [doi:10.1109/TCOMM.2006.881259]
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.
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).
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. [doi:10.1016/j.dsp.2009. 09.002]
Author information
Authors and Affiliations
Corresponding author
Additional information
Project supported by the National Natural Science Foundation of China (No. 60904090), the Postdoctoral Science Foundation of China (No. 20080431306), and the Special Postdoctoral Science Foundation of China (No. 20081458)
Rights and permissions
About this article
Cite this article
Jiang, Jw., Yang, Wj., Zhang, Cj. et al. Effect of chip rate on the ranging accuracy in a regenerative pseudo-noise ranging system. J. Zhejiang Univ. - Sci. C 12, 132–139 (2011). https://doi.org/10.1631/jzus.C1000132
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1631/jzus.C1000132
Key words
- Ranging accuracy
- Range jitter
- Time delay discrimination
- Sample-to-chip rate ratio
- Integration time
- Autocorrelation function
- Fractional chip period delay