Source Localization Using Leaky Wave Antenna By Subspace-Based Methods

Universities and Institutes of France


October 31, 2022


  • Organisation/Company: Yide WANG
  • Research Field: Engineering › Communication engineering
  • Researcher Profile: First Stage Researcher (R1) Recognised Researcher (R2) Established Researcher (R3) Leading Researcher (R4)
  • Application Deadline: 31/10/2022 00:00 - Europe/Athens
  • Location: France › NANTES
  • Type Of Contract: Temporary
  • Job Status: Full-time
  • Offer Starting Date: 01/12/2022
  • This research project proposed jointly be IETR/Polytech Nantes and Sorbonne University, Paris (GeePs laboratory) is supported financially by the ANR project: BeSensiCom.

    Direction-of-arrival (DOA) estimation aims at finding the directions of incoming sources with an array of sensors, it plays a fundamental role in a variety of important practical application fields such as radar, sonar, acoustics, radio astronomy, medicine, and wireless communications. Traditionally, the DOA estimation is carried out with an array of isotropic sensors. Such techniques are not suitable in millimeter-wave communications where the number of sensors becomes extremely large (such as in 5G and beyond communication standards).

    We have started investigating DOA estimation using a specific type of directional antennas: the leaky-wave antennas (LWA). LWAs are a class of traveling wave antennas that can efficiently replace antenna arrays to achieve directional properties (i.e., narrow beams) with a simple feeding structure. An interesting feature is that LWAs naturally exhibit beam scanning properties with frequency and can be therefore used to dynamically estimate DOA of different sources.

    The estimation of DOA and power of incoming sources with an LWA, is equivalent to work in the beam space, generated by the LWA frequency scanning. However, since the equivalent directional matrix does not exhibit a Vandermonde structure, several efficient methods classically developed with linear arrays cannot be used. The research work will therefore comprise the following steps.

    Firstly, we will review and implement some classical DOA estimation techniques which can be directly adapted to LWA, such as beamforming methods and the high-resolution spectral MUSIC method. The maximum likelihood estimator (MLE) will also be implemented for performance benchmark. Once DOAs are estimated, the power associated to the identified incoming sources will be determined with classical least-squares approaches to obtain the required power angular spectrums.

    Secondly, we will investigate different approaches to transform the directional matrix or manifold matrix of the different LWAs to a Vandermonde matrix, so that several numerically efficient high-resolution techniques such as Root-MUSIC or ESPRIT can be applied. In addition, this transformation is required to estimate coherent signal sources, which is necessary in multipath situations. Thanks to this transformation, classical spatial smoothing techniques and the PUMA method can also be used for localizing coherent sources and/or single-snapshot signal source.

    Finally, to further improve the performance of the proposed methods in the second step, we will try to exploit the statistical properties of the transmitted pilot sequences found in existing 4/5G reference signals. Aiming at the same goal, we will also optimize the transmitted pilot sequence by exploiting the non-circularity, cyclostationarity, and/or higher order statistics, in the above proposed methods. Under the same context, we will also optimize the transmitted pilot sequence to further improve the performance and to draw several guidelines on the design of pilot sequences for future standards (e.g., 6G).

    Funding category: Financement public/privé


    PHD title: Doctorat en traitement du signal et télécommunication

    PHD Country: France

    Offer Requirements Specific Requirements

    Traitement du signal multidimensionnel


    Array signal processing


    Contact Information
  • Organisation/Company: Yide WANG
  • Organisation Type: Public Research Institution
  • Website: https:// https: // www.
  • Country: France
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