Automotive Radar Interference Mitigation Using Adaptive Noise Canceller

Feng Jin, Siyang Cao

Research output: Contribution to journalArticlepeer-review

29 Scopus citations

Abstract

Interference among frequency modulated continues wave automotive radars can either increase the noise floor, which occurs in the most cases, or generate a ghost target in rare situations. To address the increment of noise floor due to interference, we proposed a low calculation cost method using adaptive noise canceller to increase the signal-to-interference ratio. In a quadrature receiver, the interference in the positive half of frequency spectrum is correlated to that in the negative half of frequency spectrum, whereas the beat frequencies from real targets are always present in the positive frequency. Thus, we estimated the power of the negative frequency as an indication of interference, and fed the positive frequency and negative frequency components into the primary and reference channel of an adaptive noise canceller, respectively. The least mean square algorithm was used to solve for the optimum filter solution. As a result, both the simulation and experiment showed a good interference mitigation performance.

Original languageEnglish (US)
Article number8651538
Pages (from-to)3747-3754
Number of pages8
JournalIEEE Transactions on Vehicular Technology
Volume68
Issue number4
DOIs
StatePublished - Apr 2019
Externally publishedYes

Keywords

  • Radar interference
  • adaptive signal processing
  • automotive radar

ASJC Scopus subject areas

  • Automotive Engineering
  • Aerospace Engineering
  • Electrical and Electronic Engineering
  • Applied Mathematics

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