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We use the complex signals of clutter and target returns to extract the correlation feature and set the rule of the binary detector based on this feature at the first-stage detection of the proposed detector.
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The binary integration nonparametric detector based on the GS detector (BINGS) for range-spread targets in DTRN is presented to satisfy the aforementioned practical application requirements.
When the number of integration pulses and reference cells are different, the detection probability versus the single-pulse SCR for the BINGS detection and the binary integration parametric detector based on cell-averaging (CA -CFAR (BIPCA -CFAR detection for the false alarm probability ({P_{{f_{text {BGS}}}}} = {10^{- 8}}) are shown in Fig. 9. M is the number of integration pulses.
The computational complexity of the proposed detectors will then be compared with the CMOE detector [15], the subspace-based MMSE detector [23], the robust VDL detector based on bounding probability [28], and the MMSE-ICA detector [39].
"Suppose we develop an earthquake detector based on known earthquakes.
We present the concept of a hybrid photon detector based on the 65k-pixel detector "Timepix".
A novel design of a Transition Radiation Detector, based on Silicon Microstrip Detectors, is presented.
A compensated detector based on passivated implanted planar silicon (PIPS) detectors was constructed.
Also a scintillation detector based on ZnO Sc was designed.
In conclusion, we present a novel room-temperature mid-infrared detector based on the intrinsic graphene plasmon excitations.
Rosenthal, A., Razansky, D. & Ntziachristos, V. High-sensitivity compact ultrasonic detector based on a pi-phase-shifted fiber Bragg grating.
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