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- W1973644564 abstract "The spatial density of false measurements is known as clutter density in signal and data processing of targets. It is unknown in reality and its knowledge has a significant impact on the effective processing of targets. This paper presents a number of theoretically sound estimators for clutter density based on conditional mean, maximum likelihood, least squares and method of moments estimation. They are computationally highly efficient and require no knowledge of the probability distribution of the clutter density. They can be readily incorporated into a variety of tracking filters for performance improvement." @default.
- W1973644564 created "2016-06-24" @default.
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- W1973644564 date "1998-09-03" @default.
- W1973644564 modified "2023-09-23" @default.
- W1973644564 title "<title>Integrated real-time estimation of clutter density for tracking</title>" @default.
- W1973644564 doi "https://doi.org/10.1117/12.324651" @default.
- W1973644564 hasPublicationYear "1998" @default.
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