Wideband nonlinearities correction in digital payloads channels with parallel architectures

Wideband nonlinearities correction in digital payloads channels with parallel architectures

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Advances in Communications Satellite Systems Proceedings of The 36th International Communications Satellite Systems Conference (ICSSC-2018) — Recommend this title to your library

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The problem domain related to the correction of wideband non-linearities on satellite receiving or transmitting chains is more and more increasing due to the need of satellite missions with high throughput data handling, high precision accuracy and high energy efficiency. Typical non-linear distortions could be introduced by different active on-board devices in the RX/TX chains such as LNA, mixers, active filters, A/D and D/A converters and high power amplifiers (in low back-off operations). Modeling wideband distortions requires the introduction of memory effects, to account for more complex distortion mechanisms than static polynomial nonlinear models. In multi-channel (beam-forming) receivers/transmitters, especially if wideband, the data rate increases with the number and bandwidth of channels, and so does the need for hardware resources. Generalized models based on Volterra kernels are hardware-consuming, especially when applied for wideband systems with high data rates and potentially long memory effects. In this paper the architecture of a Volterra filter, adapted in order to exploit high parallelism in a possible target space hardware, is presented, taking into account the design constraint to keep digital complexity to a minimum by using a priori (restricted models) or a posteriori (pruning) techniques for complexity reduction and low power exploitation. Finally, the implementation of this filter performed on a many-core processors technology, in order to achieve high throughput performances on beam-forming and wideband systems, is evaluated in terms of computational cost and I/O, taking into account data rates, memory requirements, data dependencies, and raw processing power.

Inspec keywords: digital communication; array signal processing; parallel architectures; polynomials; computational complexity; low-power electronics; nonlinear filters; satellite communication; nonlinear distortion

Other keywords: digital payloads channels; high data rates; high throughput data handling; RX-TX chains; static polynomial nonlinear models; satellite missions; complex distortion mechanisms; parallel architectures; wideband nonlinearities correction; a priori techniques; digital complexity; high energy efficiency; high precision accuracy; many-core processors technology; low power exploitation; Volterra filter architecture; a posteriori techniques; satellite transmitting chains; computational cost; data rate; generalized models; memory effects; active on-board devices; multichannel receiver-transmitters; wideband systems; beamforming; complexity reduction; nonlinear distortions; satellite receiving chain; Volterra kernels; hardware resources; data dependencies; wideband distortion modelling

Subjects: Filtering methods in signal processing; Algebra; Filters and other networks; Satellite communication systems

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