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Statistical Models For Constant False-Alarm Rate Threshold Estimation In Sound Source Detection Systems, Sayed Mahdi Saghaian Nejad Esfahani
Statistical Models For Constant False-Alarm Rate Threshold Estimation In Sound Source Detection Systems, Sayed Mahdi Saghaian Nejad Esfahani
University of Kentucky Master's Theses
Constant False Alarm Rate (CFAR) Processors are important for applications where thousands of detection tests are made per second, such as in radar. This thesis introduces a new method for CFAR threshold estimation that is particularly applicable to sound source detection with distributed microphone systems. The novel CFAR Processor exploits the near symmetry about 0 for the acoustic pixel values created by steered-response coherent power in conjunction with a partial whitening preprocessor to estimate thresholds for positive values, which represent potential targets.
To remove the low frequency components responsible for degrading CFAR performance, fixed and adaptive high-pass filters are applied. …