Abstract:In this study, we perform statistical radar cross section (RCS) analysis for various test targets in an indoor factory at \SI{25}{}-\SI{28}{\GHz}, with the goal of determining the best-fit parametric distributions that characterize the target scattering properties to be used in integrated sensing and communication channel modeling standardization. The analysis is conducted based on measurements in quasi-monostatic and bistatic configurations with bistatic angles of \(20^\circ\), \(40^\circ\), and \(60^\circ\). The test targets include unmanned aerial vehicles, an autonomous mobile robot, and a robotic arm. Goodness-of-fit tests validate that the RCS of these targets is best modeled by \textit{lognormal} and \textit{gamma} distributions with high statistical confidence. Additionally, we provide a framework for evaluating the \ac{NF}, specular-dominant effective bistatic RCS of a rectangular sheet under controlled bistatic geometries. Novel deterministic RCS models are evaluated, incorporating dependencies on the bistatic angle, transmitter-target separation (\SIrange{2}{10}{\meter}). The results demonstrate that some proposed deterministic RCS models accurately fit the measured data, highlighting their applicability in deterministic RCS characterization in NF bistatic configurations.
From: Ali Waqar Azim Dr. [view email]
[v1]
Tue, 5 Nov 2024 15:54:05 UTC (16,855 KB)
[v2]
Wed, 6 Nov 2024 12:45:29 UTC (16,855 KB)
[v3]
Fri, 8 Nov 2024 20:22:06 UTC (1 KB) (withdrawn)
[v4]
Mon, 27 Jul 2026 08:41:42 UTC (3,179 KB)
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