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Statistical Description of the Bistatic Radar Cross Section Distributions for a Right Circular Cylinder

Richard L. Wittschen

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Abstract

Detection probabilities for monostatic and bistatic radars are compared by computer simulation. The computer generated radar cross section (RCS) of a long thin cylinder is utilized in the computation of detection probabilities for both the monostatic and bistatic configurations. The statistics of the RCS distributions are used to determine the best characterizing function for the cylinder data. It is shown that the beta distribution provides the most accurate description of the cylinder RCS for both configurations. The beta distribution is used as the fluctuation model for the RCS of the cylinder, and in the determination of the probability of detection. Comparison of detection probabilities shows that the detection probabilities for large angle bistatic cases are greater than for the monostatic case. Bistatic, Radar cross section, Bistatic radar.

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What this paper is about

Detection probabilities for monostatic and bistatic radars are compared by computer simulation. The computer generated radar cross section (RCS) of a long thin cylinder is utilized in the computation of detection probabilities for both the monostatic and bistatic configurations. The statistics of the RCS distributions are used to determine the best characterizing function for the cylinder data. It is shown that the beta distribution provides the most accurate description of the cylinder RCS for both configurations. The beta distribution is used as the fluctuation model for the RCS of the cylinder, and in the determination of the probability of detection. Comparison of detection probabilities shows that the detection probabilities for large angle bistatic cases are greater than for the monostatic case. Bistatic, Radar cross section, Bistatic radar.

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Available abstract

Detection probabilities for monostatic and bistatic radars are compared by computer simulation. The computer generated radar cross section (RCS) of a long thin cylinder is utilized in the computation of detection probabilities for both the monostatic and bistatic configurations. The statistics of the RCS distributions are used to determine the best characterizing function for the cylinder data. It is shown that the beta distribution provides the most accurate description of the cylinder RCS for both configurations. The beta distribution is used as the fluctuation model for the RCS of the cylinder, and in the determination of the probability of detection. Comparison of detection probabilities shows that the detection probabilities for large angle bistatic cases are greater than for the monostatic case. Bistatic, Radar cross section, Bistatic radar.

Key concepts: Bistatic radar, Radar cross-section, Cylinder, Radar, Radar engineering details, Computer science, Passive radar, Physics

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Statistical Description of the Bistatic Radar Cross Section Distributions for a Right Circular Cylinder — Research Paper | ScholarLens