Chi-square statistic for noise objects tracking in Track-Before-Detect systems

• Autorzy: Mazurek P.
• Konferencja: Computer Applications in Electrical Engineering 2012 (23-24.04.2012; Poznań, Polska)
• Języki publikacji: EN

Abstrakty

EN

Tracking of the noise signal in noise measurements needs special techniques. The difference between object and background noise is defined, using the noise parameter estimators. The proposed technique is based on the model of the noise and the Gaussian noise is assumed. The window based approach is used for input signal preprocessing. The chi-square statistic for estimation of the local chi-square value by the comparison of the assumed model and local distributions is used. Chi-square values are processed using Spatio-Temporal Track-Before-Detect Algorithm for tracking of the dynamic of the object and improved signal denoising. Dumped Information Update formula is proposed for considered TBD algorithm. A few examples are shown for different objects that show possibilities of the proposed solution.

Słowa kluczowe

EN

track-before-detect system; TBD; Chi-square statistic; tracking system

• Wydawca: Wydawnictwo Politechniki Poznańskiej
• Czasopismo: Poznan University of Technology Academic Journals. Electrical Engineering
• Rocznik: 2012
• Tom: No. 71
• Strony: 177--184
• Opis fizyczny: Bibliogr. 18 poz., rys.

Twórcy

autor

Mazurek P.

• West-Pomeranian University of Technology, Szczecin

Bibliografia

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• [3] Blackman S., Multiple-Target Tracking with Radar Applications. Artech House, 1986.
• [4] Blackman S., Popoli R., Design and Analysis of Modern Tracking Systems, Artech House, 1999.
• [5] Boers Y., Ehlers F., Koch W., Luginbuhl T., Stone L.D., Streit R.L., Track Before Detect Algorithm, EURASIP Journal on Advances in Signal Processing, 2008.
• [7] Mazurek P., Noise suppression for Track-Before-Detect algorithms using spatial noise estimators, 16. Konferencja Naukowo-Techniczna "Zastosowania Komputerów w Elektrotechnice" ZKwE'2011 Poznań, 281-282, 2011.
• [8] Mazurek P., Comparison of Different Measurement Spaces for Spatio-Temporal Recurrent Track-Before-Detect Algorithm, Advances in Intelligent and Soft Computing, vol. 102 - Image Processing and Communications Challenges 3, Springer Verlag, 157-164, 2011.
• [9] Mazurek P., Hierarchical Track-Before-Detect Algorithm for Tracking of Amplitude Modulated Signals, Advances in Intelligent and Soft Computing, vol. 102 - Image Processing and Communications Challenges 3, Springer Verlag, 511-518, 2011.
• [10] Mazurek P., Optimization of bayesian Track-Before-Detect algorithms for GPGPUs implementations, Electrical Review, R. 86 no. 7/2010, 187-189, 2010
• [11] Mazurek P., Impulse noise of small and point targets in recurrent Track-Before-Detect algorithms, Poznań University of Technology Academic Journals - Electrical Engineering, nr 61, 53-62, 2010.
• [12] Mazurek P., Optimization of Track-Before-Detect systems for GPGPU, Measurement Automation and Monitoring, vol. 56 no. 7, 665-667, 2010.
• [13] Mazurek P., Optimization of Track-Before-Detect Systems with Decimation for GPGPU, Measurement Automation and Monitoring, vol. 56 no. 12, 1523-1525, 2010.
• [14] Mazurek P., Suppression of impulse noise in track-before-detect algorithms, Computer Applications in Electrical Engineering, vol. 8, Poznań, 201-211, 2010
• [15] Mazurek P., Track-Before-Detect Algorithm for Noise Objects, Measurement Automation and Monitoring, vol. 56 no. 10, 1183-1185, 2010.
• [16] Mazurek P., Suppression of impulse noise in track-before-detect algorithms using saturation and pulse removal, 15. Konferencja Naukowo-Techniczna "Zastosowania Komputerów w Elektrotechnice" ZKwE'2010 Poznań, 301-302, 2010.
• [17] Mazurek P., Improving response of recurrent Track-Before-Detect algorithms for small and point targets, 14. Konferencja Naukowo-Techniczna "Zastosowania Komputerów w Elektrotechnice" ZKwE'2009 Poznań, 351-352, 2009.
• [18] Ristic B., Arulampalam S., Gordon N., Beyond the Kalman Filter: Particle Filters for Tracking Applications. Artech House, 2004.
• [19] Stone L. D., Barlow C. A., Corwin T. L. Bayesian Multiple Target Tracking. Artech House, 1999.

Uwagi

Błędna numeracja bibliografii.