Software Defined Radio Implementation of a Digital Self-interference Cancellation Method for Inband Full-Duplex Radio Using Mobile Processors

Aghababaeetafreshi, Mona; Korpi, Dani; Koskela, Matias; Jääskeläinen, Pekka; Valkama, Mikko; Takala, Jarmo

doi:10.1007/s11265-017-1312-0

Cited by 7 publications

(6 citation statements)

References 20 publications

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“…The error signal and weight update equations are expressed as

\begin{equation} \def\eqcellsep{&}\begin{array}{c} {{\bar{w}}_{k,m}}(n + 1) = {{\bar{w}}_{k,m}}(n) + \bar{\mu }{{\bf v}}(n){e^ * }(n)\\[6pt] e(n) = r(n) - y(n) \end{array} \end{equation}

where

\bar{\mu }

is the step. Compared with the orthogonalization process in [3, 4, 7–9], the proposed ATDO scheme enables non‐linear basis functions decorrelation, coefficient estimation and SI signal cancellation to iterate adaptively. Therefore, the novel scheme can meet the real‐time tracking requirement under the situation where quickly time‐varying interference exists.…”

Section: Proposed Schemementioning

confidence: 99%

“…where μ is the step. Compared with the orthogonalization process in [3,4,[7][8][9], the proposed ATDO scheme enables non-linear basis functions decorrelation, coefficient estimation and SI signal cancellation to iterate adaptively. Therefore, the novel scheme can meet the real-time tracking requirement under the situation where quickly time-varying interference exists.…”

Section: Preliminariesmentioning

confidence: 99%

“…In [8], the computation of covariance matrix is simplified in iteration method to reduce calculation complexity. Literature [9] realizes the orthogonalization procedure by polyphase filter with precomputed transformation matrix. In [10], the input data are prewhitened by exploiting the known distributions of SI signal.…”

mentioning

confidence: 99%

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An adaptive two‐dimensional orthogonalization scheme for non‐linear digital canceller in full‐duplex radios

Cui

et al. 2021

Electronics Letters

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In this letter, an adaptive two-dimensional orthogonalization (ATDO) scheme for non-linear digital canceller is proposed to realize selfinterference (SI) suppression in full-duplex radios. The proposed scheme consists of three parts. First, an adaptive lattice predictor is adopted to orthogonalize the input data over sample delay dimension. Then, a gradient-based adaptive orthogonalizer is developed to further orthogonalize the basis functions established with predictor output over non-linear order, and a new set of two-dimension orthogonal basis functions is constructed consequently. Finally, a least mean square (LMS) model-based parameter learning approach is utilized to implement the coefficients estimation with the newly established two-dimension orthogonal basis functions. The proposed ATDO scheme provides an effective solution to track quickly time-varying interference with high accuracy for real-time communication system. Experimental results illustrate that the proposed scheme can efficiently improve the cancellation performance of non-linear digital canceller, especially for higher order non-linear distortion model compared to other algorithms in previous literatures.

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“…The error signal and weight update equations are expressed as

\begin{equation} \def\eqcellsep{&}\begin{array}{c} {{\bar{w}}_{k,m}}(n + 1) = {{\bar{w}}_{k,m}}(n) + \bar{\mu }{{\bf v}}(n){e^ * }(n)\\[6pt] e(n) = r(n) - y(n) \end{array} \end{equation}

where

\bar{\mu }

Section: Proposed Schemementioning

confidence: 99%

Section: Preliminariesmentioning

confidence: 99%

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An adaptive two‐dimensional orthogonalization scheme for non‐linear digital canceller in full‐duplex radios

Cui

et al. 2021

Electronics Letters

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“…The method of RF cancellation is to construct the local interference signal with the opposite phase in the analog RF circuit, which is superimposed with the received signal, and cancel the interference [9,10]. After the analog-to-digital converter (ADC), the digital algorithm cancellation is carried out in the digital domain, and the interference cancellation can be achieved with the help of the relevant SIC algorithm [11]- [14]. Among the three methods mentioned above, RF cancellation is one of the most effective methods and is being intensively studied these years.…”

Section: Introductionmentioning

confidence: 99%

RF Self-Interference Cancellation for Radio-Over-Fiber Link Based on Dual Phase Modulation in Sagnac Loop

et al. 2021

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The in-band full-duplex (IBFD) systems can send and receive data simultaneously in the same frequency band. Although the electromagnetic interference among RF channels can be released using radio over fiber (RoF) links, the receiving antenna is susceptible to the signal leakage from adjacent transmitting antennas. Due to the electronic bottlenecks, traditional RF selfinterference cancellation (SIC) systems have some problems, such as low operating frequency, narrow transmission bandwidth, and electromagnetic interference, which seriously reduces the communication performance. In this paper, a photonic RF SIC system based on dual-phase modulation in a Sagnac loop is proposed to further increase the resistance to electromagnetic interference of the IBFD systems. Based on the principle of polarization multiplexing, the damaged received signal and local interference signal are modulated on two beams of a light wave with orthogonal polarization states. The received interference signal can be canceled by polarization adjustment. In the experiment, a single-frequency interference cancelation depth of 45 dB is achieved in the proposed photonic SIC system over the operating frequency range of 5-20 GHz. Also, a demonstration of cancellation for modulated interference with a center frequency of 10 GHz and bandwidths of 20, 30, and 50 MHz is carried out.

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“…Doubtlessly, self-interference cancellation is a major challenge in IBFD and requires a combination of analog and digital mitigation schemes [6]- [9]. IBFD is of high interest for future mobile communication standards due to the enhanced spectral efficiency [10]- [15].…”

Section: Introductionmentioning

confidence: 99%

Low-Complex Digital Cancellation of Transmitter Harmonics in LTE-A/5G Transceivers

Paireder

Huemer

2021

IEEE Open J. Commun. Soc.

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Nowadays, mobile communication radio frequency transceivers for LTE-A/5G usually operate in frequency-division duplex mode and support carrier aggregation. The resulting complexity requires compromises in the analog front-end. One consequence is a limited stop-band attenuation of the duplex filters that separate the transmit and the receive paths. The resulting transmit leakage signal combined with other non-idealities, like power amplifier (PA) harmonics, can create self-interference problems that desensitize the receivers. In this work, we propose an optimized digital self-interference cancellation scheme to mitigate the unacceptable performance degradation caused by PA induced harmonics. We derive an appropriate interference model and quantify the interference power levels for a specific PA. Based on these results, our low-complex cancellation approach solely targets the dominating components. Our algorithm relies on the auto-covariance matrix for the second and third power of LTE signals, which we derive for the first time in an analytic form. This statistical information can be combined with the transform-domain concept to noticeably improve the performance of a least-mean squares based cancellation algorithm. The capabilities of the approach are demonstrated by means of simulations and are validated on measurement data.

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Software Defined Radio Implementation of a Digital Self-interference Cancellation Method for Inband Full-Duplex Radio Using Mobile Processors

Cited by 7 publications

References 20 publications

An adaptive two‐dimensional orthogonalization scheme for non‐linear digital canceller in full‐duplex radios

An adaptive two‐dimensional orthogonalization scheme for non‐linear digital canceller in full‐duplex radios

RF Self-Interference Cancellation for Radio-Over-Fiber Link Based on Dual Phase Modulation in Sagnac Loop

Low-Complex Digital Cancellation of Transmitter Harmonics in LTE-A/5G Transceivers

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