
Open access
Datum
2021Typ
- Journal Article
Abstract
Practical systems often suffer from hardware impairments that already appear during signal generation. Despite the limiting effect of such input-noise impairments on signal processing systems, they are routinely ignored in the literature. In this paper, we propose an algorithm for data detection and signal estimation, referred to as Approximate Message Passing with Input noise (AMPI), which takes into account input-noise impairments. To demonstrate the efficacy of AMPI, we investigate two applications: Data detection in massive multiple-input multiple-output (MIMO) wireless systems and sparse signal recovery in compressive sensing. For both applications, we provide precise conditions in the large-system limit for which AMPI achieves optimal performance. We furthermore use simulations to demonstrate that AMPI achieves near-optimal performance at low complexity in realistic, finite-dimensional systems. Mehr anzeigen
Persistenter Link
https://doi.org/10.3929/ethz-b-000508247Publikationsstatus
publishedExterne Links
Zeitschrift / Serie
IEEE Transactions on Signal ProcessingBand
Seiten / Artikelnummer
Verlag
IEEEOrganisationseinheit
09695 - Studer, Christoph / Studer, Christoph