Nonparametric signal detection algorithm using permutation statistics of signal partial likelihood ratios

Nonparametric signal detection algorithm using permutation statistics of signal partial likelihood ratios

This paper presents a new approach to design radar signal detection algorithms that are applicable when a priori information is limited. The problem is formulated as testing the hypothesis of the kind of a density function. A new method that uses nonparametric statistics of partial likelihood ratios...

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Bibliographische Detailangaben
Hauptverfasser: Sinitsyn, R B, Bokal, Z M, Kolchenko, L V
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Algorithm design and analysis
Density functional theory
Kernel
Noise
Radar detection
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Beschreibung
Zusammenfassung:This paper presents a new approach to design radar signal detection algorithms that are applicable when a priori information is limited. The problem is formulated as testing the hypothesis of the kind of a density function. A new method that uses nonparametric statistics of partial likelihood ratios and allows adopting a permutation test in a practical algorithm is suggested and researched. The results can be used for signal detection and processing in different radar systems.