Simulation of Tracking Time Delay Algorithm using Mathcad Package
This paper deals with tracking and estimating time delay between two signals. The simulation of this algorithm accomplished by using Mathcad package is carried out. The algorithm we will present adaptively controls and tracking the delay, so as to minimize the mean square of this error. Thus the algorithm in this case has task not only of seeking the minimum point of error but also of tracking the change of position, leading to a significant improving of performance. The flowchart of the algorithm is presented as well as several tests of different cases are carried out.
[1] Hagit Messer and Yesheskel Bar-Ness, Snior Member, "Time Delay
Estimation", IEEE Transaction on Acoustic, And Speech, Processing, Vol,
Assp_ 35, NO.4, April 1987.
[2] Amer R. Zerek, Mahmud H. Alwaik, A. M. Edwila and A.A. Safar," Time
delay estimation algorithm of closed loop system using Mathcad package",
Second International Conference on Information and Computing
Science,Vo1, 22-5-2009.
[3] J. Gamba , " Self- tuned LMS Algorithm for Sinusoidal Time Delay
Tracking",International Journal of Signal Processing vol. 4, no. 1, pp.
1304-4478, 2007.
[4] S. Haykin, Adaptive Filter Theory, Prentice-Hall, Englewood Cliffs,
NJ,2002.
[5] M. Turki-Hadj Alouane, M. Jaidane-Saidane, "A new nonstationary LMS
algorithm for tracking Markovian time varying systems", Signal Processing
86 (2006) 50-70.
[6] Donka Angelova , Lyudmila Mihaylova, "Joint target tracking and
classification with particle filtering and mixture Kalman filtering using
kinematic radar information", Digital signal processing 16 (2006) 180-
204.
[7] Chengjie Cai,Weixian Liu, Jeffrey Shiang Fu, Yilong Lu, " A new
approach for ground moving target indication in foliage environment"
Signal Processing 86 (2006) 84-97.
[8] Tat Chee Avenue, Kowloon," A Fast Algorithm for Nonstationary Delay
Estimation" June 19, 1998.
[9] Segio Sabatini , Marco Tarantino " Multifunction Array Radar System
Design and Analysis".
[10] August W. Rihaczek, "Principles of High-Resolution Radar".
[11] Yihua Yu , Qiansheng Cheng, "Particle filters for maneuvering target
tracking problem", Digital signal processing 86 (2006) 195-203.
[12] C. Hue, J.L Carde, p perez, "Sequential Monte Carlo Methods for multiple
target tracking and data fusion", IEEE Trans. Signal Process. 50 (2)
(February 2002).
[13] Emmanuel C. Ifeachor and Barrie W. Jevies, "Digital Signal
Processing" ADDISON- WESLEY 1993K.
[14] N.R Yousef, A.H. Sayed, "Ability of adaptive filters to track carrier offsets
an channel non stationarities", IEEE Tran. Signal Process. 50 (7) (July
2002) 1438-1544.
[15] M. W Long, "Radar Reflectivity of Land and sea", 3rd ed. (Artech House,
2001).
[16] S. Challa, G. pulford, "Joint target tracking and classification using radar
and ESM sensors", IEEE Trans. Aerospace Electron. Syst 37 (3) (2001)
1039-1055.
[17] Y. Boers, J. Driessen, "Interacting multiple model practicle filter", IEEE
Proc. Radar Sonar Navig.149 (5) (2003) 344-349.
[18] S. challa, N. Bergman, "Target tracking incorporating flight envelope
information", in Proc. Of the Third Int. Conf. on Information Fusion, Paris,
France (July 2000).
[1] Hagit Messer and Yesheskel Bar-Ness, Snior Member, "Time Delay
Estimation", IEEE Transaction on Acoustic, And Speech, Processing, Vol,
Assp_ 35, NO.4, April 1987.
[2] Amer R. Zerek, Mahmud H. Alwaik, A. M. Edwila and A.A. Safar," Time
delay estimation algorithm of closed loop system using Mathcad package",
Second International Conference on Information and Computing
Science,Vo1, 22-5-2009.
[3] J. Gamba , " Self- tuned LMS Algorithm for Sinusoidal Time Delay
Tracking",International Journal of Signal Processing vol. 4, no. 1, pp.
1304-4478, 2007.
[4] S. Haykin, Adaptive Filter Theory, Prentice-Hall, Englewood Cliffs,
NJ,2002.
[5] M. Turki-Hadj Alouane, M. Jaidane-Saidane, "A new nonstationary LMS
algorithm for tracking Markovian time varying systems", Signal Processing
86 (2006) 50-70.
[6] Donka Angelova , Lyudmila Mihaylova, "Joint target tracking and
classification with particle filtering and mixture Kalman filtering using
kinematic radar information", Digital signal processing 16 (2006) 180-
204.
[7] Chengjie Cai,Weixian Liu, Jeffrey Shiang Fu, Yilong Lu, " A new
approach for ground moving target indication in foliage environment"
Signal Processing 86 (2006) 84-97.
[8] Tat Chee Avenue, Kowloon," A Fast Algorithm for Nonstationary Delay
Estimation" June 19, 1998.
[9] Segio Sabatini , Marco Tarantino " Multifunction Array Radar System
Design and Analysis".
[10] August W. Rihaczek, "Principles of High-Resolution Radar".
[11] Yihua Yu , Qiansheng Cheng, "Particle filters for maneuvering target
tracking problem", Digital signal processing 86 (2006) 195-203.
[12] C. Hue, J.L Carde, p perez, "Sequential Monte Carlo Methods for multiple
target tracking and data fusion", IEEE Trans. Signal Process. 50 (2)
(February 2002).
[13] Emmanuel C. Ifeachor and Barrie W. Jevies, "Digital Signal
Processing" ADDISON- WESLEY 1993K.
[14] N.R Yousef, A.H. Sayed, "Ability of adaptive filters to track carrier offsets
an channel non stationarities", IEEE Tran. Signal Process. 50 (7) (July
2002) 1438-1544.
[15] M. W Long, "Radar Reflectivity of Land and sea", 3rd ed. (Artech House,
2001).
[16] S. Challa, G. pulford, "Joint target tracking and classification using radar
and ESM sensors", IEEE Trans. Aerospace Electron. Syst 37 (3) (2001)
1039-1055.
[17] Y. Boers, J. Driessen, "Interacting multiple model practicle filter", IEEE
Proc. Radar Sonar Navig.149 (5) (2003) 344-349.
[18] S. challa, N. Bergman, "Target tracking incorporating flight envelope
information", in Proc. Of the Third Int. Conf. on Information Fusion, Paris,
France (July 2000).
@article{"International Journal of Electrical, Electronic and Communication Sciences:64264", author = "Mahmud Hesain ALdwaik and Omar Hsiain Eldwaik", title = "Simulation of Tracking Time Delay Algorithm using Mathcad Package", abstract = "This paper deals with tracking and estimating time delay between two signals. The simulation of this algorithm accomplished by using Mathcad package is carried out. The algorithm we will present adaptively controls and tracking the delay, so as to minimize the mean square of this error. Thus the algorithm in this case has task not only of seeking the minimum point of error but also of tracking the change of position, leading to a significant improving of performance. The flowchart of the algorithm is presented as well as several tests of different cases are carried out.
", keywords = "Tracking time delay, Algorithm simulation,
Mathcad, MSE", volume = "6", number = "7", pages = "713-4", }
