The calculation and accurate determination of the main indicator of radar visibility - radar cross-section is a complex problem for which theoretical and experimental methods have been developed. Theoretical methods for determining the radar cross-section at this time are quite accurate, but the priority area of research is still to determine the radar cross-section by the experimental method. One of such practical methods for determining the radar cross-section is a model (and for small unmanned aerial vehicles - full-scale) experiment in a anechoic screened chamber, but this experiment does not take into account the propagation properties of radio wave in real conditions. The most reliable characteristics of the unmanned aerial vehicle (UAV) radar visibility are obtained in a full- scale experiment during a testing ground experiment by test flight. Determination of the radar cross-section by the test flight method is carried out in real conditions under the influence of all available factors for the radio detection and location, methods of its processing, the presence of spurious reflection, the real jamming environment. A signals training area is used as a test range. A signals training area is an spatial region (sector of the terrain) where the instrumentation radar set and certain spatio measuring points arе located and the signal-noise-rate of the radar sеt receive path is measured when the unmanned aerial vehicle to be in the spatio measuring points. It should be noted that any radar set can be used as a instrumentation radar set, subject to conformity with the measurement accuracy meets the specified requirements. Given the above, the UAV radar visibility evaluation procedure during testing ground experiment by test flight allows to determine the radar cross-section in the absence of a perfect measuring system and provides a high level of measurement accuracy.
The important operations while testing weapons and military equipment samples are the calculation of quantitative plans for measuring stochastic quantities. A feature of weapons and military equipment testing is the desire to ensure the estimation maximum quality of the stochastic parameters of the tested sample with significant limitations in the possibility of conducting a full series of experiments due to a number of reasons. As a result, there is a need to assess the quality and reliability of the obtained test results. In addition, the calculation of quantitative test plans for a fairly large number of stochastic parameters can take quite a lot of time and distract researchers from other important tasks. Automation of the calculating processes of the number of experiments repetitions and determining the quality of the received estimates of stochastic parameters is aimed at minimizing time losses and possible errors. The article considers the issue of creating a module for planning the quality of stochastic value estimates. It is expected to be implemented as a part of the information system for supporting weapons and military equipment tests. In order to form a functional scheme, the cases of the need to calculate the number of repetitions of the experiment when measuring stochastic quantities and the cases of the need to form indicators of the quality of the stochastic quantity assessment were formalized. The information links of the assessment quality planning module with the components of the conceptual model of the test support information system have been defined and specified. The algorithm for the functioning of the stochastic value estimation quality planning module is proposed, which is aimed at maximum automation of computing operations and minimal operator intervention both in determining the number of experiments when measuring the stochastic parameters of a sample, and when setting the quality parameters of stochastic value estimation. It is assumed that the implementation of the quality planning module as part of the test support information system will significantly reduce the time spent on calculation operations, will provide support for the production process of test engineers for test planning and evaluation of the obtained results, will significantly simplify communications at the stages of approval and correction of test methods, drawing up the program tests, formation of a test plan, and also creates an opportunity to shorten a series of tests under certain conditions.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.