Thinning Methodologies-A Comprehensive Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Time-frequency analysis: theory and applications
Time-frequency analysis: theory and applications
Digital Image Processing Using MATLAB
Digital Image Processing Using MATLAB
Separating more sources than sensors using time-frequency distributions
EURASIP Journal on Applied Signal Processing
IEEE Transactions on Signal Processing
Subspace analysis of spatial time-frequency distribution matrices
IEEE Transactions on Signal Processing
Parameter Estimation for Locally Linear FM Signals Using a Time-Frequency Hough Transform
IEEE Transactions on Signal Processing
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We consider the problem of direction finding for frequency modulated signals impinging on an array of sensors. Making use of a time-frequency representation of the data, we are able to exploit the non-stationary nature of the source signals. We employ morphological image processing to estimate time-frequency signature segments of each source. For the direction finding we apply beamforming techniques on averaged spatial time-frequency distribution matrices. When they occur, overlapping segments are splitted and re-combined after direction finding. The re-combination of segments is based on a bootstrap test, which resamples time-frequency auto-term locations. The proposed method also allows direction finding for the underdetermined case, i.e. when there are more sources than the number of array sensors. Furthermore, it detects the number of sources present, and the detector performance is compared to information based criteria.