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2 2013

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

Mazurek P.

Poznan University of Technology Academic Journals. Electrical Engineering

2013

No. 76

101--107

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.

Track-Before-Detect Filter Banks for Noise Object Tracking

Mazurek P.

International Journal of Electronics and Telecommunications

2013

Vol. 59, No. 4

325-330

The Track-Before-Detect (TBD) filter banks is proposed for the processing of noise object that are additive to the background noise. Spatio-Temporal TBD algorithm uses the preprocessing of measurement. The modified moving standard deviation filter is applied. The correction of the results for the selection of the highest possible filter banks window is proposed. Position and velocity errors are evaluated numerically for two smoothing coefficients. Monte Carlo test shows that all filter banks allow the tracking if the standard deviation of the background is below 1.3.