Photonics-Based Adaptive RF Self-Interference Cancellation and Frequency Downconversion

Hu, Xiaopeng; Zhu, Dan; Lu, Li; Pan, Shilong

doi:10.1109/jlt.2021.3133609

Cited by 16 publications

(5 citation statements)

References 28 publications

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“…Then, by changing the input noise type and intensity, this paper observes and records the influence of noise on the sensor performance. In the simulation experiment of this paper, this paper mainly pays attention to the characteristics and influence of polarization random noise [22]. Polarization random noise is a kind of noise caused by random process in physical system, and its characteristics include Gaussian distribution, autocorrelation, and ergodicity.…”

Section: The Influence Of Polarization Random Noise and Its Suppressi...mentioning

confidence: 99%

Polarization Random Noise Suppression Method in Two-Dimensional Force Sensor Based on Random Forest

2023

IJOMAM

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The technique of distributed optical fiber sensing is very effective and applied in many different industries. Because of its benefits, including a long sensing distance and good spatial resolution, Brillouin Optical Time Domain Analysis (BOTDA) has received a lot of interest. A method for reducing the polarization random noise of a two-dimensional force sensor based on random forest is proposed in order to lessen the restriction between long sensing distance and high spatial resolution and measurement accuracy. The random forest algorithm is presented first. The polarization correlation of Stimulated Brillouin Scattering (SBS) and its impact on Brillouin time domain analysis and sensing are then examined. By studying polarization random noise, a method to suppress polarization random noise based on random forest algorithm and Brillouin phase shift spectrum (BPS) is proposed. Following that, simulation studies are used to confirm the method's impact on enhancing sensing accuracy. Finally, an analysis is done of the impact of gray coded BOTDA system sensors on wavelet-based image threshold denoising technology. The findings demonstrate that while the wavelet threshold denoising method is excellent at denoising white noise, it is not successful at suppressing polarization random noise, which lowers the sensing accuracy. Polarization random noise is less of an issue with BPS than it is with Brillouin gain spectrum (BGS), which allows for a three-fold increase in sensing accuracy. Wavelet denoising has a denoising impact on Brillouin phase shift sensing data that is unquestionably superior to Brillouin gain, and the BFS fluctuation is unquestionably decreased after denoising. This paper offers some suggestions and guidelines for reducing polarization random noise in sensors.

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Section: The Influence Of Polarization Random Noise and Its Suppressi...mentioning

confidence: 99%

Polarization Random Noise Suppression Method in Two-Dimensional Force Sensor Based on Random Forest

2023

IJOMAM

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“…From the perspective of microwave photonic system architecture, the reported SIC systems can be roughly divided into two categories: 1) using one optical path; 2) using two separated optical paths. When two separated optical paths are used, two intensity modulators [8]- [10]/equivalent intensity modulators [11]/phase modulators [12] combined with a photodetector (PD), two modulators/modulated lasers combined with a balanced photodetector [13]- [20], or a modulator with two orthogonal polarization states combined with a PD [21], are jointly used for the SIC. When one optical path is employed [22]- [31], a single modulator and a PD are used together to achieve the SIC.…”

Section: Introductionmentioning

confidence: 99%

“…The system is more compact and may have better stability using a single optical path. Besides the SIC function, the photonics-assisted SIC methods combining frequency downconversion [21], [24], [26], [27] and radio over fiber transmission [20], [22], [24], [26]- [28] are also extensively studied.…”

Section: Introductionmentioning

confidence: 99%

“…To achieve the SIC adaptive control with the signal of interest (SOI) [18], [19], the bit error rate of the SOI was used as the optimization parameter by using the RT algorithm. In [21], for adaptive control with more dimensions, the particle swarm optimization (PSO) algorithm was applied to optimize the phase, amplitude, and time delay of the reference signal for the photonic-assisted SIC.…”

Section: Introductionmentioning

confidence: 99%

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Photonics-assisted wideband RF self-interference cancellation with digital domain amplitude and delay pre-matching

Shi

Han

Chen

2022

Optik

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“…After processing in the optical domain, the reference signal is well-matched to SI signal and subtract it. Schemes have previously been proposed with direct laser modulation [13]- [14], external optical intensity modulation [15]- [21], external polarization modulation [22]- [23], and phase modulation [24]- [25].…”

Section: Introductionmentioning

confidence: 99%

Optical Multi-Tap RF Canceller for In-Band Full-Duplex Wireless Communication Systems

Xing

Chen

et al. 2022

IEEE Photonics J.

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In-band full-duplex (IBFD) technology has become important for future wireless communications, due to its ability of increasing the radio-frequency (RF) spectrum efficiency. However, the benefits can only be realized if the self-interference (SI) is sufficiently suppressed. RF cancellation is important for IBFD systems due to its ability of SI mitigation. But it becomes more difficult for RF cancellation while the frequency and bandwidth increase. In real scenarios, the response of the multipath SI channel is not frequency-flat, which also limits the cancellation performance. To solve these problems, we present a photonic-enabled multi-tap RF canceller in this paper. The proposed RF canceller has the ability of cancelling multi-path SI. The tap coefficients are precisely adjusted by optical spectrum processing. A prototype system with 8 taps is demonstrated in this paper. The measured results show 25dB average cancellation depth over 1GHz cancellation bandwidth under over-the-air conditions. To verify the signal of interest (SOI) recovery capability of the novel RF canceller, an IBFD wireless communication experiment based on 16-quadrature amplitude modulation (16-QAM) was demonstrated, the SOI was successfully recovered.

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Photonics-Based Adaptive RF Self-Interference Cancellation and Frequency Downconversion

Cited by 16 publications

References 28 publications

Polarization Random Noise Suppression Method in Two-Dimensional Force Sensor Based on Random Forest

Polarization Random Noise Suppression Method in Two-Dimensional Force Sensor Based on Random Forest

Photonics-assisted wideband RF self-interference cancellation with digital domain amplitude and delay pre-matching

Optical Multi-Tap RF Canceller for In-Band Full-Duplex Wireless Communication Systems

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