Fast and Resource-Efficient CNNs for Radar Interference Mitigation on Embedded Hardware

Michael Erwin Hirschmugl, Johanna Rock, Paul Meissner, Franz Pernkopf

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

Abstract

Recently, Convolutional Neural Networks have demonstrated impressive performance in automotive radar interference mitigation tasks. However, high-performance hardware is typically indispensable for low-latency applications of Convolutional Neural Network models, which prohibits usage in resource-constrained automotive environments. In this paper, we propose a scalable, resource-efficient accelerator for interference mitigation, which enables low-latency and low-memory computations. In extensive experiments we contrast three substantially different implementations: (i) a software implementation in Python, (ii) a firmware implementation on an ARM CPU using either floating-point, or fixed-point arithmetic, and (iii) a Field-Programmable Gate Array implementation. These different implementations are analyzed with respect to latency, memory, and interference mitigation performance. We conclude, that hardware accelerated inference is magnitudes faster than CPU-based inference while increasing power consumption just slightly. The use of integer arithmetic due to quantization accelerates the computation without impairing interference mitigation performance. Furthermore, the parallelization of layers in programmable logic further reduces latency. This parallelization introduces a trade-off with resource requirements and power consumption versus latency, and is therefore a scalable approach for different application and hardware demands.
Original languageEnglish
Title of host publication2022 19th European Radar Conference, EuRAD 2022
Pages197-200
Number of pages4
ISBN (Electronic)9782874870712
DOIs
Publication statusPublished - 2022
Event19th European Radar Conference: EuRAD 2022 - Milano, Italy
Duration: 28 Sep 202230 Sep 2022

Publication series

Name2022 19th European Radar Conference, EuRAD 2022

Conference

Conference19th European Radar Conference
Abbreviated titleEuRAD 2022
Country/TerritoryItaly
CityMilano
Period28/09/2230/09/22

Keywords

  • Advanced driver assistance systems
  • Convolutional neural networks
  • Doppler measurement
  • Field programmable gate arrays
  • Vehicle safety

ASJC Scopus subject areas

  • Signal Processing
  • Instrumentation
  • Computer Networks and Communications

Fields of Expertise

  • Information, Communication & Computing

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