The Combination of Spectrum Subtraction and Cross-power Spectrum Phase Method for Time Delay Estimation

• Autorzy: Bin Feng , Lei Xu

Identyfikatory

DOI

10.24425/aoa.2020.134061

• Języki publikacji: EN

Abstrakty

EN

In order to solve the problem of large error of delay estimation in low SNR environment, a new delay estimation method based on cross power spectral frequency domain weighting and spectrum subtraction is proposed. Through theoretical analysis and MATLAB simulation, among the four common weighting functions, it is proved that the cross-power spectral phase weighting method has a good sharpening effect on the peak value of the cross-correlation function, and it is verified that the improved spectral subtraction method generally has a good noise reduction effect under different SNR environments. Finally, the joint simulation results of the whole algorithm show that the combination of spectrum subtraction and cross-power spectrum phase method can effectively sharpen the peak value of cross-correlation function and improve the accuracy of time delay estimation in the low SNR environment. The results of this paper can provide useful help for sound source localization in complex environments.

Słowa kluczowe

EN

sound source localization; time delay estimation; generalized cross correlation; phase of cross power spectrum; spectral subtraction

• Wydawca: Instytut Podstawowych Problemów Techniki PAN ; Komitet Akustyki PAN ; Polskie Towarzystwo Akustyczne
• Czasopismo: Archives of Acoustics
• Rocznik: 2020
• Tom: Vol. 45, No. 3
• Strony: 453--458
• Opis fizyczny: Bibliogr. 10 poz., rys., tab., wykr.

Twórcy

autor

Bin Feng

• School of Opto-electronical Engineering, Xi’an Technological University, Xi’an 710021, China

autor

Lei Xu

• School of Opto-electronical Engineering, Xi’an Technological University, Xi’an 710021, China

Bibliografia

• 1. Cheng Y., Yang S. Y. (2015), Sound source localization algorithm and implementation based on arrival time difference, Journal of Tianjin University of Technology, 31 (2): 50-54.
• 2. Danicki E. (2005), Acoustic sniper localization, Archives of Acoustics, 30 (2): 233-245.
• 3. Dong H. (2016), Study on speech recognition based on spectral subtraction in noise environment, p. 15, Harbin Engineering University Press, China.
• 4. Duan L. P., Doa (2014), Algorithm based on four-microphone array three-dimensional source localization research, p. 21, Lanzhou Technology University Press, China.
• 5. Kai S., Xia C. Q., Zhang C. W. (2015), Passive acoustic localization of projectile landing point, Military Automation, Military Automation, 34 (6): 1-4.
• 6. Wang C. Y., Fan G. M., Meng J. (2010), A time delay estimation algorithm for acoustic array based on generalized cross correlation function, Electroacoustic Technology, 34 (8): 37-39.
• 7. Wang X., Wu Z. (2014), Sound source localization based on discrimination of cross-correlation functions, Applied Acoustics, 74 (1): 28-37, doi: 10.1016/j.apacoust.2012.06.006.
• 8. Wei L. (2018), Time delay estimation of sound source localization algorithm research, Computer Knowledge and Technology, 14 (7): 220-222.
• 9. Yan S. Y., Qu X. X., Lou J. Y. (2018), Spectral subtraction speech enhancement algorithm based on continuous noise spectrum estimation [in Chinese], Communication Technology, 51 (6): 1296-1301.
• 10. Zhang C. Y., Mi C. W., Yao P. Y. (2013), Research on sound source localization system based on time delay estimation, [in:] Advanced Design and Manufacturing Technology III, Series: Applied Mechanics and Materials, Vol. 397-400, pp. 2209-2214, Trans Tech Publications Ltd., doi: 10.4028/www.scientific.net/AMM.397-400.2209.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).