Target Detection in Clutter Using Receiver with Reduced DOF in Frequency Domain
| Autor: | Yang Li, Alexander M. Haimovich, Qian He, Rick S. Blum |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Computer science
010401 analytical chemistry Detector ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Degrees of freedom (statistics) 020206 networking & telecommunications 02 engineering and technology 01 natural sciences 0104 chemical sciences Computer Science::Robotics Frequency domain 0202 electrical engineering electronic engineering information engineering Clutter Snapshot (computer storage) Selection method Greedy algorithm Algorithm Selection (genetic algorithm) |
| Zdroj: | SAM |
| Popis: | This paper addresses the problem of target detection against a background of clutter by using frequency snapshots with reduced degrees of freedom (DOF). We derive the optimal detector under the Neyman-Pearson criterion for general frequency snapshots selection with arbitrary DOF. If the clutter statistics are known/well-estimated, a greedy method for selecting the frequency snapshots is presented. For unknown clutter statistics, we employ a uniform random frequency snapshot selection method and show how the DOF employed affects the detection performance. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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