High-efficiency carrier frequency estimation algorithm for real-time multi-domain communication signal analysis

• Autorzy: Wang Q. , Yang X. , Yan X , Qin K.

Identyfikatory

DOI

10.2478/mms-2014-0024

• Języki publikacji: EN

Abstrakty

EN

Based on real-time multi-domain communication signal analysis architecture, a high-efficiency blind carrier frequency estimation algorithm using the power spectrum symmetry of the measured modulated signal is presented. The proposed algorithm, which utilizes the moving averaged power spectrum achieved by the realtime spectrum analysis, iteratively identifies the carrier frequency in according to the power difference between the upper sideband and lower sideband, which is defined and revised by the estimated carrier frequency in each iteration. When the power difference of the two sidebands converges to the preset threshold, the carrier frequency can be obtained. For the modulation analysis, the measured signal can be coarsely compensated by the estimated result, and the residual carrier frequency error is eliminated by a following carrier synchronization loop. Compared with previous works, owing to the moving averaged power spectrum normalization and the smart iterative step variation mechanism for the two sidebands definition, the carrier frequency estimation accuracy and speed can be significantly improved without increasing the computational effort. Experimental results are included to demonstrate the outstanding performance of the proposed algorithm.

Słowa kluczowe

EN

carrier frequency estimation; multi-domain communication; signal analysis

• Wydawca: Komitet Metrologii i Aparatury Naukowej PAN
• Czasopismo: Metrology and Measurement Systems
• Rocznik: 2014
• Tom: Vol. 21, nr 2
• Strony: 281--292
• Opis fizyczny: Bibliogr. 14 poz., rys., wykr., wzory

Twórcy

autor

Wang Q.

• University of Electronic Science and Technology of China, School of aeronautics and astronautics, No.2006, Xiyuan Ave, West Hi-Tech Zone, Chengdu, China

autor

Yang X.

• University of Electronic Science and Technology of China, School of aeronautics and astronautics, No.2006, Xiyuan Ave, West Hi-Tech Zone, Chengdu, China

autor

Yan X

• University of Electronic Science and Technology of China, School of aeronautics and astronautics, No.2006, Xiyuan Ave, West Hi-Tech Zone, Chengdu, China

autor

Qin K.

• University of Electronic Science and Technology of China, School of aeronautics and astronautics, No.2006, Xiyuan Ave, West Hi-Tech Zone, Chengdu, China

Bibliografia

• [1] Tevfik, Y., Huseyin, A. (2009). A survey of spectrum sensing algorithms for cognitive radio applications, IEEE Communications Surveys & Tutorials, 11(1), 116-130.
• [2] Luca, De Vito, Rapuano, S., Villanacci, M. (2010). Prototype of an automatic digital modulation classifier embedded in a Real-Time Spectrum Analyzer, IEEE Transactions on Instrumentation and Measurement, 59(10),2639-2651.
• [3] Zhou, J., Zhi, L., Yunsong, D., Xiaoyang, Z. “DFT-based carrier recovery for Satellite DVB Receivers”, ICCE 2007, pp. 1-2, Jan. 2007.
• [4] Borio, D., Letizia Lo Presti. (2008). DTFT-Based Frequency Lock Loop for GNSS Applications, IEEE Transactions on Aerospace and Electronic Systems ,Vol. 44, No. 2, 595-612.
• [5] Yuce, M. R., Dissanayake, T. (2012). Easy-to-swallow wireless telemetry. IEEE Microwave Magazine, 13.6: 90-101.
• [6] Turcza, P. (2012). An Ultra Low Power 2 Mbps RF-telemetry System for Neural Recording Applications. Procedia Engineering 47: 813-816.
• [7] Da-fu, Ch., Er-Yang, Z., Jiang, Z. (2006). A fast fourier transform algorithm to estimate carrier frequency deviation, Journal of Circuits And Systems, 11(2), 128-132.
• [8] Qian, W., Xiao, Y., Kaiyu, Q. (2010). Interpolation algorithm for carrier estimation based on DFT in burst M-PSK communiation real-time multi-domain analysis, Chinese Journal of Scientific Instrument, Vol. 31 No.12.
• [9] Xiao, Y., Qian, W., Kaiyu, Q. (2010). Joint carrier recovery algorithm for high-order QAM real-time multidomain analysis, Chinese Journal of Scientific Instrument, Vol.31 No.4 , 923-928.
• [10] Dan, S., Yaqing, T., Ming, L., Jianyuan, L. (2012). Comparative Analysis of Frequency Estimation Methods, CCC2012, 5442-5447.
• [11] Shen, Y., Yaqing, Tu, WeiXiao. (2012). Frequency Estimation of Multisection Signals with Same Frequency and Length based on Spectrum Correlation, WCICA.2012, 4283-4286.
• [12] Dziadak, B., Makowski, L., & Michalski, A. (2013). Some Practical Problems of Communications Reliability in Enviromental Monitoring Systems. Metrology and Measurement Systems, 20(3), 337-350.
• [13] Zygarlicki, J., Mroczka, J. (2012). Prony’S Method Used for Testing Harmonics and Interharmonics in Electrical Power Systems. Metrology and Measurement Systems, 19(4), 659-672.
• [14] Xiao, Y., Qian, W. (2012). Blind QAM Modulation Identification Algorithm in Adaptive Real-time Multidomain Analysis for Broadband Communication Signal, ICCT12.

Uwagi

EN

This work was supported by the Fundamental Research Funds for the Central Universities, China (grant # ZYGX2012J146).