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Featured researches published by Aiying Yang.


IEEE Photonics Journal | 2017

High Accuracy VLC Indoor Positioning System With Differential Detection

Huichao Lv; Lihui Feng; Aiying Yang; Peng Guo; Heqing Huang; Shufen Chen

Recently, several positioning systems based on visible light communications (VLC) have been proposed, and most of them are based on received signal strength (RSS) because of its simplicity and high accuracy. In order to improve the accuracy further, a differential detection-based positioning algorithm is proposed. It can reduce positioning instability caused by light intensity fluctuation and the area outside the light-emitting diode (LED) cell can also be positioned. Experimental results show that the proposed method can improve the positioning accuracy from 10.0 to 4.0xa0cm and reduce the standard deviation from 9.0 to 2.5xa0cm. Meanwhile, the positioning accuracy outside the cell can reach 10.0xa0cm or less.


IEEE Photonics Journal | 2016

Indoor Positioning Method Based on Metameric White Light Sources and Subpixels on a Color Image Sensor

Heqing Huang; Aiying Yang; Lihui Feng; Guoqiang Ni; Peng Guo

An indoor positioning method based on metameric white light sources and subpixels on a color image sensor is proposed in this paper. Metameric white light sources are obtained by merging multiple-color light-emitting diode (LED) chips with different intensity ratios. The output intensity ratios of subpixels on color image sensor at the receiver are employed to identify the respective metameric white light sources. Proof of concept experiments demonstrates that the average error of 2-D indoor positioning is 1.50 cm and 3-D indoor positioning is 3.58 cm. The indoor positioning system with the proposed method is cost effective and convenient because image sensors in nowadays available mobile devices can be utilized.


IEEE Photonics Journal | 2017

A Novel Noise-Insensitive Chromatic Dispersion Estimation Method Based on Fractional Fourier Transform of LFM Signals

Wanli Wang; Yaojun Qiao; Aiying Yang; Peng Guo

We propose a novel chromatic dispersion (CD) estimation method by fractional Fourier transformation of linear-frequency modulation (LFM) signals. This method can measure inband and outband CD without using extra spectrum or timeslot resourses. In our method, LFM signals are added on quadrature phase-shift keying (QPSK) and 16 quadrature amplitude modulation (16-QAM) signals with different center frequency offsets. The average estimation error of CD estimation is 0.234%, 0.25%, and 0.41% when the center frequency offset is 0, 15, and 40 GHz after five, 10, 15, and 20 spans standard single-mode fiber transmission. The results demonstrates that the maximum estimation error is always below 80 ps/nm for accumulated CD less than 24xa0000 ps/nm. For all scenarios, the CD estimation performance barely drops with optical signal-to-noise ratio from 10 to 25 dB and launch power from 0 to 6 dBm of five channel transmission.


IEEE Photonics Journal | 2017

Localization Accuracy Improvement of a Visible Light Positioning System Based on the Linear Illumination of LED Sources

Nan Wu; Lihui Feng; Aiying Yang

As a new technique of indoor localization, visible light positioning has the advantages of high accuracy and antielectromagnetic interference. Received signal strength (RSS) based visible light positioning method is easy to implement because it requires simple hardware structure. However, in practical scenarios, the actual channel gain does not follow the ideal channel model. Instead of Lambertian channel model, some approximations have to be adopted to describe the relationship between received optical power and distance, and these approximations will cause deviation of positioning calculation. In this paper, an optical antenna based on freeform lens design is proposed to improve the accuracy of RSS-based positioning. With the optical antenna, the luminous intensity distribution is optimized, and the relationship between received optical power and distance becomes a simple linear relationship. Results show that RSS-based positioning system using freeform lens optical antenna can improve the positioning accuracy by 44%. Furthermore, the advantage of the optical antenna we designed for a visible light communication positioning system demonstrated uniformity under different conditions.


Journal of Lightwave Technology | 2017

Joint OSNR and Interchannel Nonlinearity Estimation Method Based on Fractional Fourier Transform

Wanli Wang; Aiying Yang; Peng Guo; Yueming Lu; Yaojun Qiao

We propose a novel joint optical signal noise ratio (OSNR) and interchannel nonlinearity (NL) estimation method by fractional Fourier transformation of linear-frequency modulation (LFM) signal. In our method, LFM signal acts as time domain pilot in front of the payload. Our method of OSNR estimation is insensitive to nonlinear noise of optical fiber. Lower OSNR estimation error is also achieved in comparison with differential pilot method. The interchannel NL measurement procedures are also simplified compared with previous work. We also provide a scientific way to calculate the reference interchannel NL. The interchannel NL estimation error of our method is lower than 1 dB for 9 channels transmission after 10 spans with launch power from 10 to 14 dBm.


Sensors | 2017

Fusion Based on Visible Light Positioning and Inertial Navigation Using Extended Kalman Filters

Zhitian Li; Lihui Feng; Aiying Yang

With the rapid development of smart technology, the need for location-based services (LBS) increases every day. Since classical positioning technology such as GPS cannot satisfy the needs of indoor positioning, new indoor positioning technologies, such as Bluetooth, Wi-Fi, and Visible light communication (VLC), have already cut a figure. VLC positioning has been proposed because it has higher accuracy, costs less, and is easier to accomplish in comparison to the other indoor positioning technologies. However, the practicality of VLC positioning is limited since it is easily affected by multipath effects and the layout of LEDs. Thus, we propose a fusion positioning system based on extended Kalman filters, which can fuse the VLC position and the inertial navigation data. The accuracy of the fusion positioning system is in centimeters, which is better compared to the VLC-based positioning or inertial navigation alone. Furthermore, the fusion positioning system has high accuracy, saves energy, costs little, and is easy to install, making it a promising candidate for future indoor positioning applications.


IEEE Photonics Journal | 2017

Fusion of Visible Light Indoor Positioning and Inertial Navigation Based on Particle Filter

Zhitian Li; Aiying Yang; Huichao Lv; Lihui Feng; Wen-Zhan Song

With the increasing demand for indoor positioning-based services, indoor positioning methods based on Bluetooth, Wi-Fi, ultra wide band (UWB), inertial navigation, and visual light communications (VLC) have been proposed. Considering the limitations of accuracy, cost and complexity, we propose a fusion positioning scheme integrating VLC positioning and inertial navigation base on particle filter. The experimental results demonstrated that the performance degradation caused by the multipath effect and light obstruction in VLC-based positioning and the cumulative error associated with inertial navigation are solved in the proposed fusion system. The accuracy of the fusion positioning system is in centimeters, which is two to four times better as compared to the VLC-based positioning or inertial navigation alone. Furthermore, the fusion positioning system has the advantages of high accuracy, energy saving, low cost, and easy to install, making it a promising candidate for future indoor positioning applications.


Photonic Network Communications | 2018

An improved diversity combining receiver for layered ACO-FOFDM in IM/DD systems

Mengqi Guo; Ji Zhou; Xizi Tang; Fan Hu; Jia Qi; Yaojun Qiao; Aiying Yang; Yueming Lu

In this paper, an improved receiver based on diversity combining is proposed to improve the bit error rate (BER) performance of layered asymmetrically clipped optical fast orthogonal frequency division multiplexing (ACO-FOFDM) for intensity-modulated and direct-detected (IM/DD) optical transmission systems. Layered ACO-FOFDM can compensate the weakness of traditional ACO-FOFDM in low spectral efficiency, the utilization of discrete cosine transform in FOFDM system instead of fast Fourier transform in OFDM system can reduce the computational complexity without any influence on BER performance. The BER performances of layered ACO-FOFDM system with improved receiver based on diversity combining and DC-offset FOFDM (DCO-FOFDM) system with optimal DC-bias are compared at the same spectral efficiency. Simulation results show that under different optical bit energy to noise power ratios, layered ACO-FOFDM system with improved receiver has 2.86, 5.26 and 5.72xa0dB BER performance advantages at forward error correction limit over DCO-FOFDM system when the spectral efficiencies are 1, 2 and 3 bits/s/Hz, respectively. Layered ACO-FOFDM system with improved receiver based on diversity combining is suitable for application in the adaptive IM/DD systems with zero DC-bias.


Optical Engineering | 2018

Chromatic dispersion estimation based on heterodyne detection for coherent optical communication systems

Yong Li; Aiying Yang; Peng Guo; Yaojun Qiao; Yueming Lu

Abstract. We propose an accurate and nondata-aided chromatic dispersion (CD) estimation method involving the use of the cross-correlation function of two heterodyne detection signals for coherent optical communication systems. Simulations are implemented to verify the feasibility of the proposed method for 28-GBaud coherent systems with different modulation formats. The results show that the proposed method has high accuracy for measuring CD and has good robustness against laser phase noise, amplified spontaneous emission noise, and nonlinear impairments.


Optical Fiber Technology | 2017

Nonlinearity-tolerant OSNR estimation method based on correlation function and statistical moments

Zihan Wang; Aiying Yang; Peng Guo; Yueming Lu; Yaojun Qiao

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Peng Guo

Beijing Institute of Technology

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Yaojun Qiao

Beijing University of Posts and Telecommunications

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Lihui Feng

Beijing Institute of Technology

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Yueming Lu

Beijing University of Posts and Telecommunications

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Wanli Wang

Beijing University of Posts and Telecommunications

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Heqing Huang

Beijing Institute of Technology

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Huichao Lv

Beijing Institute of Technology

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Zhitian Li

Beijing Institute of Technology

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Chuan Huang

Beijing Institute of Technology

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Fan Hu

Beijing University of Posts and Telecommunications

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