The problem of optimum sparse array configuration to maximize the beamformer output signal-to-interference plus noise ratio (MaxSINR) in the presence of multiple sources of interest (SOI) has been recently addressed in the literature. In this paper, we consider a shared aperture system where optimum sparse subarrays are allocated to individual SOIs and collectively span the entire full array receiver aperture. Each subarray may have its own antenna type and can comprise a different number of antennas. The optimum joint sparse subarray design for shared aperture based on maximizing the sum of the subarray beamformer SINRs is considered with and without SINR threshold constraints. We utilize Taylor series approximation and sequential convex programming techniques to render the initial nonconvex optimization a convex problem. The simulation results validate the shared aperture design solutions for MaxSINR for both cases where the number of sparse subarray antennas is predefined or left to constitute an optimization variable.


    Access

    Download


    Export, share and cite



    Title :

    Optimum Sparse Subarray Design for Multitask Receivers




    Publication date :

    2019-04-01


    Size :

    4094174 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Studies of subarray adaptive digital beamforming for sparse phased array radar

    Qiu Lijun / Zhou Zhimin / Liang Diannong | IEEE | 1996


    Studies of Subarray Adaptive Digital Beamforming for Sparse Phased Array Radar

    Qiu, L. / Zhou, Z. / Liang, D. et al. | British Library Conference Proceedings | 1996


    Robust visual multitask tracking via composite sparse model

    Jin, B. / Jing, Z. / Wang, M. et al. | British Library Online Contents | 2014



    Very Fast Subarray Position Calculation for Minimizing Sidelobes in Sparse Linear Phased Arrays

    Lee, C. / Leigh, D. / Miyashita, H. et al. | British Library Conference Proceedings | 2006