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Summary & Details

An Adaptive Synthetic Environment Generation for Radar Target Simulators

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Format: PDF

Price: Non-members (tax incl.)：￥1,100 Members (tax incl.)：￥880

Publication code: 20215290

Paper/Info type: Proceedings (Spring)

No.64-21

Pages: 1-6(Total 6 p)

Date of publication: May 2021

Publisher: JSAE

Language: English

Event: 2021 JSAE Annual Congress (Spring)[Online Meeting]

Detailed Information

Author(E)	1) Prasanna Venkatesan Kannan, 2) Axel Diewald, 3) Thomas Zwick
Affiliation(E)	1) IPG Automotive, 2) KIT, 3) KIT
Abstract(E)	Radar Target Simulators (RTS) stimulate the Radar unit under test (RUT) with synthetic reflections. In a RTS with multiple antenna elements (antenna array), reflections from different angles can be can be simulated. In this paper, a raytracing based radar model is adapted to generate potential targets from the environment. An adaptive reduction of targets is performed using segmentation and clustering algorithms. Relevant targets from each clusters are identified, which then represent the environment for RUT through the RTS. The reduction algorithm described in this paper aims to represent the environment, taking into consideration the physical boundaries presented by the RTS.

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