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Dynamic RCS Statistical Modeling of Stealth Aircraft

Published: 15 March 2023 Publication History

Abstract

With the development of stealth technology, the threat of stealth aircraft with high speed and high maneuverability is increasing. Statistical distribution model can reveal dynamic RCS characteristics, which is an important part of anti-stealth technology. In this paper, the static RCS database is established initially. Combining with the level flight and the circling track models, two dynamic RCS sequences are obtained based on the static RCS database. Then, these dynamic RCS sequences are described by chi-square distribution model, log-normal distribution model and Weibull distribution model. The K-S test results reveal that the log-normal distribution has high accuracy. So, the log-normal distribution has good potential in anti-stealth.

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EITCE '22: Proceedings of the 2022 6th International Conference on Electronic Information Technology and Computer Engineering
October 2022
1999 pages
ISBN:9781450397148
DOI:10.1145/3573428
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 March 2023

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Author Tags

  1. Dynamic RCS statistical characteristics
  2. Fitting degree test
  3. Log-normal distribution model
  4. Radar Cross Section (RCS)
  5. Stealth aircraft

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EITCE 2022

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Overall Acceptance Rate 508 of 972 submissions, 52%

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