Quantization-loss analysis for array signal-source localization

Manuel Stein, Amine Mezghani, Josef A. Nossek

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

4 Scopus citations


This work investigates the problem of low SNR signal-source localization with an array of sensors. Keeping the receive system simple, we focus on analog-to-digital converters (ADC) with coarse resolution. In order to increase the localization accuracy and minimize the size of the receiver, we discuss the effect of analog filtering and antenna spacing on the Fisher information measure. In particular, the beneficial influence of temporal and spatial noise correlation produced by the analog receive filter and antenna coupling is considered. Results for the extreme case of 1-bit hard-limiting quantizers show that it is possible to compensate the quantization-loss of the optimum unbiased estimator through the correct choice of the analog frontend and antenna design. Further, our investigation shows that for array receivers high resolution parameter estimation is still possible with antenna spacings far belowλ=2.

Original languageEnglish
Title of host publicationWSA 2013 - 17th International ITG Workshop on Smart Antennas
ISBN (Electronic)9783800734665
StatePublished - 2013
Event17th International ITG Workshop on Smart Antennas, WSA 2013 - Stuttgart, Germany
Duration: 13 Mar 201314 Mar 2013

Publication series

NameWSA 2013 - 17th International ITG Workshop on Smart Antennas


Conference17th International ITG Workshop on Smart Antennas, WSA 2013


  • 1-bit hard-limiter
  • Analog filtering
  • Antenna mutual coupling
  • Signal parameter estimation


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