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Microwave-induced thermoacoustic tomography (MITAT) is a hybrid method which constructs images with ultrasound spatial resolution while exploiting dielectric contrast at microwave frequency. It has great potential in biomedical imaging especially in early breast cancer detection. The detection of early stage breast tumor in MITAT is challenged by the(More)
In this paper, the problem of enhancing the detection performance of detector for target in partially homogeneous background is addressed. Based on a general measurement model, a new constant false alarm rate (CFAR) adaptive matched detector (AMD) is proposed through a two-step design procedure. The detection performance of the AMD is theoretically(More)
In this paper, the problem of detecting target in system-dependent clutter (SDC) background with a single observation from the test cell is researched. Classical detectors, such as the generalized likelihood ratio detectors (GLRDs) and the adaptive matched filters (AMFs), etc., usually deal with the clutter and the noise as a whole. The low rank detectors(More)
Microwave-induced thermo-acoustic tomography (MITAT) is an innovative technique for tumor's detection. Due to there has high contrast in terms with permittivity and electrical conductivity of tumor versus normal tissue, even if the tumor still in the early phase it can be imaged clearly. For the proposed MITAT system, low energy microwave pulses are used as(More)