Spectral Smoothing by Multiple Radar Pattern Multiplication for Improved Accuracy

Cristian A. Alistarh, Symon K. Podilchak, George Goussestis, John S. Thompson, Jaesup Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)
14 Downloads (Pure)

Abstract

This paper presents a novel technique for improving radar accuracy. In particular, by studying the product of multiple radar beam pattern spectrums from different radar sub-module views, a refined and improved total radar response can be obtained. We examine this radar signal processing approach using a 24GHz frequency-modulated continuous wave (FMCW) radar system equipped with broadband 1.5GHz substrate integrated waveguide (SIW) antenna arrays to ensure high range resolution. The transmitter is defined by 4 sawtooth signals generated by separated radar sub-modules, each having a multiple input multiple output (MIMO) configuration with 4 receivers at each radar submodule. The measured spectral multiplication of the individual radar sub-modules results in a signal quality improvement of more than 10dB when compared to a MIMO radar configuration with the same architecture.

Original languageEnglish
Title of host publication2018 18th International Symposium on Antenna Technology and Applied Electromagnetics (ANTEM)
PublisherIEEE
ISBN (Electronic)9781538613382
DOIs
Publication statusPublished - 13 Dec 2018
Event18th International Symposium on Antenna Technology and Applied Electromagnetics 2018 - Waterloo, Canada
Duration: 19 Aug 201822 Aug 2018

Conference

Conference18th International Symposium on Antenna Technology and Applied Electromagnetics 2018
Abbreviated titleANTEM 2018
CountryCanada
CityWaterloo
Period19/08/1822/08/18

Keywords

  • Automotive
  • Digital Beamforming
  • FMCW Radar
  • MIMO
  • SIW antenna

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Instrumentation

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