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Sensors 2016, 16(2), 142;

Performance Evaluation of the New Compound-Carrier-Modulated Signal for Future Navigation Signals

2,* and 2
College of Materials Science and Opto-Electronic Technology, University of Chinese Academy of Sciences, Beijing 100049, China
Academy of Opto-Electronics, Chinese Academy of Sciences, Beijing 100094, China
Author to whom correspondence should be addressed.
Academic Editor: Naser El-Sheimy
Received: 8 December 2015 / Revised: 15 January 2016 / Accepted: 19 January 2016 / Published: 28 January 2016
(This article belongs to the Section Remote Sensors)
Full-Text   |   PDF [2485 KB, uploaded 29 January 2016]   |  


Navigation Signal based on Compound Carrier (NSCC), is proposed as the potential future global navigation satellite system (GNSS) signal modulation scheme. NSCC, a kind of multi-carrier (MC) signal, is generated by superposition and multi-parameter adjustment of sub-carriers. Therefore, a judious choice of parameter configation is needed. The main objective of this paper is to investigate the performance of the NSCC which is influenced by these parameters and to demonstrate its structure characteristics and superiority, employing a comprehensive evaluation system. The results show that the proposed NSCC signal processes full spectral efficiency and limited out of band (OOB) emissions, satisfying the demands of crowed frequency resources. It also presents better performance in terms of spectral separation coefficients (SSCs), tracking accuracy, multipath mitigation capability and anti-jamming reduction compared with the legacy navigation signals. NSCC modulation represents a serious candidate for navigation satellite augmentation systems, especially for signals applied in challenging environments. View Full-Text
Keywords: GNSS; NSCC; tracking performance; multipath effect; modulation scheme GNSS; NSCC; tracking performance; multipath effect; modulation scheme

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Luo, R.; Xu, Y.; Yuan, H. Performance Evaluation of the New Compound-Carrier-Modulated Signal for Future Navigation Signals. Sensors 2016, 16, 142.

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