Article 8116

Title of the article



Lavrent'eva Anastasiya Sergeevna, Engineer, Nizhny Novgorod State Research Institute of Radio Engineering (5 Shaposhnikova street, Nizhny Novgorod, Russia),
Novikov Vladislav Antonovich, Candidate of physical and mathematical sciences, senior lecturer, sub-department of information technologies in physical research, Lobachevsky State University of Nizhny Novgorod (building 3, 23 Gagarina avenue, Nizhny Novgorod, Russia),
Semenova Marina Yur’evna, Candidate of physical and mathematical sciences, scientific associate, JSC «LEMZ
R&P Corp.» (110 Dmitrovskoye highway, Moscow, Russia),
Fidel'man Vladimir Romanovich, Doctor of engineering sciences, professor, head of sub-department of information technologies in physical research, Lobachevsky State University of Nizhny Novgorod (building 3, 23 Gagarina avenue, Nizhny Novgorod, Russia),

Index UDK



Background. The paper considers a problem of determining symbol rate of phase-shift keyed (PSK) signals. Its accurate assessment plays an important role in signal demodulation. The problem is topical as for a number of tasks the ability to handle short samples of received signals is crucial when choosing an algorithm. It is often complicated by the fact that signal parameters estimation must be done in near real time.
Materials and methods. This paper presents a method for determining PSK signal’s symbol rate that includes detection of phase change moments using fast discrete wavelet transform. This method was compared with an algorithm based on identification of a signal complex envelope and with an algorithm based on continuous wavelet transform.
Results. The possibility of determining the symbol rate of short samples of a PSK signal is shown against additive white Gaussian noise. The efficiency of the suggested algorithm was studied for various signal-to-noise ratios and duration of the processed signal.
Conclusions. The choice of an algorithm for determining symbol rate should be based on the PSK signal sample length and time limits. The algorithm based on identification of a signal complex envelope should be used for long-duration signals with high signal/noise ratio. For short signal samples the algorithm based on continuous wavelet transform should be used in case of sufficient computing resources for pre-determination of the optimal scale factor. In case of strong requirements to computation time the best choice is the algorithm with discrete wavelet transform.

Key words

phase-shift keyed signal, symbol rate, short sample, wavelet transform

Download PDF

1. D'yakonov V., Abramenkova I. MATLAB. Obrabotka signalov i izobrazheniy. Spetsial'nyy spravochnik [MATLAB. Signal and image processing. Special reference]. Saint-Petersburg: Piter, 2002, 608 p.
2. Ho K. C., Prokopiw W., Chan Y. T. IEEE MILCOM. 1995, vol. 2, pp. 886–890.
3. Patent № 2 485 526 Russian Federation, MPK G01R 23/16. Sposob otsenki parametrov i demodulyatsii sluchaynykh signalov [A method of parameter estimation and random signal demodulation]. Semkin P. V., Kuzovnikov A. V., Somov V. G. Publ. 20 June 2013. Bull. no. 17.
4. Mingwei Q., Tao D., Wei L. Theoretical and Applied Information Technology. 2013, vol. 51, no. 1, pp. 53–59.
5. Wang L., Zhang G. X., Bian D. M., Xie Z. D., Hu J. Electronics. 2011, vol. 28, no. 2, pp. 198–203.
6. Yajun L., Yuancheng Y., Tao D., Mingwei Q. Information and Computational Science.2013, pp. 1917–1924.
7. Shan Y. T., Plews J. W., Ho K. C. IEEE International Symposium on Circuits and Systems. 1997, vol. 1, pp. 177–180.
8. Xu J., Wang F. P., Wang Z. J. The improvement of symbol rate estimation by the Wavelet transform. IEEE, 2005, pp. 100–103.
9. Yakovlev A. N. Vvedenie v veyvlet-preobrazovaniya: ucheb. posobie [Introduction into wavelet transform: tutorial]. Novosibirsk: NGTU, 2003, 104 p.
10. Koh B. S., Lee H. S. Electronics Letters. 1993, vol. 29, pp. 278–279.


Дата создания: 01.07.2016 09:12
Дата обновления: 01.07.2016 10:49