An Application of Canonical Decomposition to TDOA Estimation for 3D Wireless Sensor Network Node Localization

• Autorzy: Jiang H. , Liu C. , Sun X.

Warianty tytułu

PL

Zastosowanie kanonicznej dekompozycji do oszacowania parametru TDOA i lokalizacji węzłów w bezprzewodowej sieci czujników

• Języki publikacji: EN

Abstrakty

EN

In this paper, a time difference of arrival (TDOA) estimation algorithm is proposed by extending canonical correlation decomposition (CCD) to measure multipath delays for determining node positions in Ultra-wideband wireless sensor networks (WSNs). Multilateral localization based on 3D Chan algorithm is employed to solve the non-linear problems for performance improvement. The method can perform well in the environment with unknown noise. The effectiveness is validated by simulations and the effects of noise and the number of anchor nodes are analyzed.

PL

Przedstawiono algorytm TDOA (time difference of arrival) do określania wielościeżkowych opóźnień w szerokopasmowej bezprzewodowej sieci czujników. Metoda jest przydatna w środowisku o nieznanych szumach.

Słowa kluczowe

EN

wireless sensor network; canonical correlations; MUSIC algorithm; ultra-wideband

PL

bezprzewodowa sieć czujników; algorytm MUSIC; dekompozycja

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2012
• Tom: R. 88, nr 9b
• Strony: 92--95
• Opis fizyczny: Bibliogr. 9 poz., rys., wykr.

Twórcy

autor

Jiang H.

• Jilin University

autor

Liu C.

• Jilin University

autor

Sun X.

• Jilin University

Bibliografia

• [1] Bartoletti S., Conti A., Passive network localization via UWB wireless sensor radars: The impact of TOA estimation, IEEE International Conference on Ultra-Wideband (ICUWB) (2011), 258-262
• [2] Keller Y., Gur Y., A Diffusion Approach to Network Localization, IEEE Trans. Signal Process. 59 (2011), No.6, 2642-2654
• [3] Pal A., Localization Algorithms in Wireless Sensor Networks: Current Approaches and Future Challenges, Network Protocols and Algorithms, 2 (2010), No.1, 45-74.
• [4] Jiao Y. M., Huang J. G., Hou Y. S., Multidimensional MUSIC DOA estimation using ant colony optimization algorithm, IEEE International Conference on Signal Processing (ICSP) (2010), 291-294
• [5] Liu X., Wang B., Li J., Transmitting-Mode Time Reversal Imaging Using MUSIC Algorithm for Surveillance in Wireless Sensor Network, IEEE Trans. Antennas and Propagation, 60 (2011), No.1, 220-230
• [6] Nedevschi S., Peter I. R., Mandrut A., Performance prediction using Kernel Canonical Correlation Analysis, Intelligent Computer Communication and Processing (ICCP) (2011), 157-162
• [7] Wu Q., Wong K. M., Estimation of DOA in unknown noise: performance analysis of UN-MUSIC and UN-CLE, and the optimality of CCD, IEEE Trans. Signal Process., 43 (1995), No. 2, 454-468
• [8] Wu Q., Wong K. M., UN-MUSIC and UN-CLE: An Application of Generalized Correlation Analysis to the Estimation of the Direction of Arrival of Signals in Unknown Correlated Noise, IEEE Trans. Signal Process., 42 (1994), No. 9, 2331-2343
• [9] Zhang J. W., Yu C. L., Tang B., Ji Y. Y., Chan Location Algorithm Application in 3-Dimension Space Location, Computing, Communication, Control, and Management (CCCM), 2 (2008), 622-624