Figure 1 - available via license: Creative Commons Attribution 4.0 International
Content may be subject to copyright.
Source publication
Full-duplex (FD) communication systems allow for increased spectral efficiency but require effective self-interference cancellation (SIC) techniques to enable the proper reception of the signal of interest. The underlying idea of digital SIC is to estimate the self-interference (SI) channel based on the received signal and the known transmitted wav...
Contexts in source publication
Context 1
... block diagram of a direct-conversion FD transceiver is depicted in Figure 1, along with the main continuous and discrete time signals required for describing its operating principle. The SI, denoted by s(t), is a part of the power amplifier's (PA) output signal x PA (t) , which reaches the receiving antenna through an SI channel h SI (t) encompassing the RF cancellation stage. ...
Context 2
... amplitude and phase mismatches between the parallel channels dealing with the I and Q components, known as I/Q imbalance, result in an image signal that corresponds to the complex conjugate of the original signal. According to Figure 1 and assuming a frequency-dependent model for the up-conversion transformation on the transmission path, the signal distorted by I/Q imbalance can be expressed as: ...
Context 3
... amplitude and phase mismatches between the parallel channels dealing with the I and Q components, known as I/Q imbalance, result in an image signal that corresponds to the complex conjugate of the original signal. According to Figure 1 and assuming a frequency-dependent model for the up-conversion transformation on the transmission path, the signal distorted by I/Q imbalance can be expressed as: ...
Similar publications
Over the past decade, reversed gradient polarity (RGP) methods have become a popular approach for correcting susceptibility artifacts in echo-planar imaging (EPI). Although several post-processing tools for RGP are available, their implementations do not fully leverage recent hardware, algorithmic, and computational advances, leading to correction...
Next-generation sequencing (NGS) has accelerated precision medicine by enabling analysis of multiple genes at once and detection of low-frequency mutations. Nevertheless, there is a paucity of software applications enabling users not trained in bioinformatics to discern and adjust the quality parameters employed for analyzing sequencing data, which...
Accurate modeling of protein-protein interaction interface is essential for high-quality protein complex structure prediction. Existing approaches for estimating the quality of a predicted protein complex structural model utilize only the physicochemical properties or energetic contributions of the interacting atoms, ignoring evolutionarily informa...
Transposable Element MOnitoring with LOng-reads (TrEMOLO) is a new software that combines assembly- and mapping-based approaches to robustly detect genetic elements called transposable elements (TEs). Using high- or low-quality genome assemblies, TrEMOLO can detect most TE insertions and deletions and estimate their allele frequency in populations....
Citations
... where w ∈ R N×1 denotes the SI channel and When the nonlinear hardware impairments are taken into account, one particularly important imperfection is PA nonlinearity; thus, we assume that the transmitted signal is only distorted by high-order harmonics of the PA, excluding the effects of I/Q imbalance or phase noise. The PAs exhibit nonlinearity when power-efficient operation is sought, and it is commonly modeled with the well-known PH model [14,19,22,24] . With an input vector x L [n], the output of a P-th order model can be expressed as ...
Simultaneous transmit and receive wireless communications have been highlighted for their potential to double the spectral efficiency. However, it is necessary to mitigate self-interference (SI). Considering both the SI channel and remote transmission (RT) channel need to be estimated before equalizing the received signal, we propose two adaptive algorithms for linear and nonlinear self-interference cancellation (SIC), based on a multi-layered joint channel estimator structure. The proposed algorithms estimate the RT channel while performing SIC, and the multi-layered structure ensures improved performance across various interference-to-signal ratios. The M-estimate function enhances the robustness of the algorithm, allowing it to converge even when affected by impulsive noise. For nonlinear SIC, this paper introduces an adaptive algorithm based on generalized Hammerstein polynomial basis functions. The simulation results indicate that this approach achieves a better convergence speed and normalized mean squared difference compared to existing SIC methods, leading to a lower system bit error rate.
