Blind estimation of the modulation index of a USB waveform in TT&C signal

• Published in: Telecommunication systems 2022-07, Vol.80 (3), p.325-335
• Main Authors: Chu, Zi-Yue, Zou, De-Cai, Wang, Xue, Zhao, Hang, Shang, Peng
• Format: Article
• Language: English
• Subjects: Artificial Intelligence; Business and Management; Computer Communication Networks; Data buses; Electric power distribution; Error analysis; Estimation; Fourier transforms; IT in Business; Military communications; Modulation; Monte Carlo simulation; Parameters; Probability Theory and Stochastic Processes; Satellite tracking; Situational awareness; Space missions; Spectrum analysis; Telecommunications systems; Telemetry; Waveforms
• ISSN: 1018-4864; 1572-9451
• DOI: 10.1007/s11235-022-00907-0

The parameter analysis of satellite tracking, telemetry, and command signal is necessary for space situational awareness. Unified S-Band (USB) waveforms are widely used in space missions. As a crucial parameter of the USB waveform, the modulation index influences the power distribution and spectrum characteristics of the waveform. This paper proposes two novel blind estimation methods of the modulation index based on spectral analysis. The equations for estimating the modulation index are constructed by the relation between the spectral characteristics and the Fourier transform of signal. The theoretical analysis of the estimation error of the methods is derived. The factors that influence the estimation error are investigated by Monte Carlo simulation, and an actual Geostationary Earth Orbit satellite signal is used to verify the methods. The proposed methods have lower complexity than existing methods, while also providing more than 10 times accuracy improvement at low signal-to-noise ratios. Suggestions for the application of the proposed methods to different scenarios are also provided.