Application of dot product for Track-Before-Detect tracking of noise objects

• Autorzy: Mazurek P.
• Konferencja: Computer Applications in Electrical Engineering 2013 (15-16.04.2013; Poznań, Polska)
• Języki publikacji: EN

Abstrakty

EN

The Track-Before-Detect (TBD) algorithms are applied for the tracking of signals below the noise floor. The noise object is the signal that has noise samples only. The processing of such signal using Spatio-Temporal TBD is not possible directly. The proposed preprocessing technique allows analysis of the signal using moving window approach and dot product calculations. Two vectors, related to the distributions, are compared: the overall signal and the local, related to the window position. The Monte Carlo tests are applied for the analysis of performance.

Słowa kluczowe

EN

track before detect; TBD; noise object; dot product; tracking algorithm

• Wydawca: Wydawnictwo Politechniki Poznańskiej
• Czasopismo: Poznan University of Technology Academic Journals. Electrical Engineering
• Rocznik: 2013
• Tom: No. 76
• Strony: 101--107
• Opis fizyczny: Bibliogr. 12 poz., rys.

Twórcy

autor

Mazurek P.

• West-Pomeranian University of Technology, Szczecin

Bibliografia

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• [3] Blackman S., Popoli R., Design and Analysis of Modem Tracking Systems, Artech House, 1999.
• [4] 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.
• [5] Mazurek P., Chi-square statistic for noise objects tracking in Track-Before-Detect systems, Poznań University of Technology Academic Journals - Electrical Engineering, no. 71, 177-184, 2012.
• [6] 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.
• [7] 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.
• [8] Mazurek P., Optimization of bayesian Track-Before-Detect algorithms for GPGPUs implementations, Electrical Review, R. 86 no. 7/2010, 187-189, 2010.
• [9] Mazurek P., Optimization of Track-Before-Detect systems for GPGPU, Measurement Automation and Monitoring, vol. 56 no. 7, 665-667, 2010.
• [10] Mazurek P., Optimization of Track-Before-Detect Systems with Decimation for GPGPU, Measurement Automation and Monitoring, vol. 56 no. 12, 1523-1525, 2010.
• [11] Mazurek P., Track-Before-Detect Algorithm for Noise Objects, Measurement Automation and Monitoring, vol. 56 no. 10, 1183-1185, 2010.
• [12] Stone L. D., Barlow C. A., Corwin T. L. Bayesian Multiple Target Tracking. Artech House, 1999.