Efficient RSS-Based DoA Estimation for ESPAR Antennas Using Multiplane SDR Calibration Approach - Publication - Bridge of Knowledge

Search

Efficient RSS-Based DoA Estimation for ESPAR Antennas Using Multiplane SDR Calibration Approach

Abstract

In this paper, we have introduced a new method to improve overall efficiency of direction-of-arrival (DoA) estimation scheme relying on received signal strength (RSS) values measured at the output port of electronically steerable parasitic array radiator (ESPAR) antenna. The proposed approach uses software-defined radio (SDR) setup and power pattern cross-correlation (PPCC) estimator involving multiple calibration planes. By placing the calibration planes using the proposed SDR-based iterative method, it has been possible to obtain more optimal form of the PPCC estimator, than originally proposed in the literature. Anechoic chamber measurements of our ESPAR antenna prototype indicate that one can keep the expected overall accuracy of DoA estimation results in a wide span of incoming signal elevation angles and, simultaneously, decrease the number of required calibration planes by more than half, which will shorten the time required for RSS-based DoA estimation process and also for the initial calibration procedure within an anechoic chamber.

Citations

  • 2

    CrossRef

  • 0

    Web of Science

  • 2

    Scopus

Cite as

Full text

full text is not available in portal

Keywords

Details

Category:
Conference activity
Type:
publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
Title of issue:
2018 IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications (APWC) strony 850 - 853
Language:
English
Publication year:
2018
Bibliographic description:
Groth M., Leszkowska L., Kulas Ł.: Efficient RSS-Based DoA Estimation for ESPAR Antennas Using Multiplane SDR Calibration Approach// 2018 IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications (APWC)/ : , 2018, s.850-853
DOI:
Digital Object Identifier (open in new tab) 10.1109/apwc.2018.8503740
Sources of funding:
Verified by:
Gdańsk University of Technology

seen 105 times

Recommended for you

Meta Tags