MURAL - Maynooth University Research Archive Library



    Compressed-sampling-based behavioural modelling technique for wideband RF transmitter leakage cancellation system


    Su, Han and Wang, Ziming and Farrell, Ronan (2016) Compressed-sampling-based behavioural modelling technique for wideband RF transmitter leakage cancellation system. In: 13th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD) 2016. IEEE. ISBN 9781509004904

    [img]
    Preview
    Download (555kB) | Preview


    Share your research

    Twitter Facebook LinkedIn GooglePlus Email more...



    Add this article to your Mendeley library


    Abstract

    A duplexer is necessary, but unfavourable for a frequency-division duplexing (FDD) base station, due to its bulky size, high cost and design challenges. In order to relax the performance requirement of such device, the transmitter (TX) leakage needs to be suppressed. The state-of-the-art solutions failed to provide a wideband solution for cancelling the TX leakage at RF frequency, due to the lack of delay optimization. Aiming to provide high delay estimation accuracy, this paper presents a modelling technique which is based on the compressed sampling matching pursuit (CoSaMP) algorithm for compressed sampling (CS). As a result, by using the proposed modelling technique, cancellation systems, particularly the ones that are based on the analog finite impulse response (FIR) filter structure, can be implemented to achieve wideband suppressing at RF frequencies.

    Item Type: Book Section
    Keywords: Self-Interference; CoSaMP; Compressed sampling (CS); Behavioural modelling; Leakage cancellation; Analog FIR filter;
    Academic Unit: Faculty of Science and Engineering > Electronic Engineering
    Item ID: 10294
    Identification Number: https://doi.org/10.1109/SMACD.2016.7520742
    Depositing User: Dr. Ronan Farrell
    Date Deposited: 06 Dec 2018 17:27
    Publisher: IEEE
    Refereed: Yes
    Funders: Science Foundation Ireland (SFI)
    URI:

      Repository Staff Only(login required)

      View Item Item control page

      Downloads

      Downloads per month over past year