Browsing by Author "Chu, Jian-Ya"

Now showing 1 - 5 of 5

Digital Self-Interference Cancellation Via Dynamic Regression for In-band Full-Duplex System
(2016)
Lin, You-Hsien
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Liao, Yuan-Te
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Chu, Jian-Ya
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Su, Po-Ju
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Hsu, Terng-Yin
For enhancing spectrum efficiency, in-band full duplex technology is one of the candidate technical solution. Rut, self-interference (SI) signal causes dramatically degrade the performance. In practically, memory effect which cause harmonic in amplifier will be hard to be estimated. Therefore, we utilizes the dynamic regression (DR) to implement digital interference cancellation (DIC) for mitigate the memory effect. Two platforms are constructed to evaluate this mechanism. In both platforms, the SI signal could effectively reduction and the residual signal could be attenuated close to noise floor. In software-defined radio (SDR) platform also proves that the proposed dynamic regression based DIC (DRDIC) is sufficient to attenuate the SI signal, where successfully perform video streaming demonstration.
Implementation of Digital Self-Interference Cancellation in LTE-based CCFD Transmission
(2017-01-01)
Chu, Jian-Ya
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Liao, Yuan-Te
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Hung, Chun-Yi
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Hsu, Terng-Yin
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資訊工程學系
In this paper, we propose a real-time and scalable digital cancellation algorithm to cancel the self-interference signal. We implement this algorithm in the FPGA of NI USRP-2953R platform by using LabVIEW to program it through the PCIe. At the end of this paper, we demonstrate the real-time video stream between two platforms at the central frequency 2.2GHz to 2.5GHz with 20MHz bandwidth in the LTE framework.
Low Complexity MIMO Detection by using Overlapped Cluster Search
(2015)
Chu, Jian-Ya
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Liao, Yuan-Te
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Hsu, Terng-Yin
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交大工研院聯合研發中心
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NCTU/ITRI Joint Research Center
In this paper, a low complexity overlapped cluster search algorithm which is employed in MIMO detection is proposed. The proposed algorithm allows more than one clusters possess the same candidate constellation points to decrease the possibility of choosing the wrong cluster while picking candidates. The proposed algorithm can maintain performance within 0.57dB such that the method is suitable for practical 4T4R 64QAM MIMO system. The algorithm complexity is reduce 27.29% to 56.25% in average case and 39.06% to 57.25% in worst case. Through simulation in IEEE 802.11n platform with TGN channel E, it indicates the complexity of proposed algorithm is less than the K-best SD with the same performance. Hence, the proposed algorithm provides a near-optimal solution with low computation complexity design for wireless MIMO system.
Poster: Anti-jamming Automatic Gain Control and Packet Detection for Vehicular Receiver
(2015)
Yeh, Shao-Ying
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Chu, Jian-Ya
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Hsu, Terng-Yin
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交大名義發表
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National Chiao Tung University
In vehicular application, the wireless receiver not only considers the channel effect, like Doppler effect, Shadowing effect, Multipath fading,. etc., but also the impulse jamming and continuous wave (CW) jamming from the device in the vehicle. This paper presents anti-jamming automatic gain control (AGC) and packet detection for vehicular receiver. In impulse jamming and CW jamming existence, the AGC responses a suitable gain in 3.2us when packet is arriving, and the packet detection hit rate exceeds 99% hit rate under multipath fading and shadowing effect.
Poster: CQI-Aware Digital Beamforming in V2X Radio Modem
(2015)
Chu, Jian-Ya
;
Yeh, Shao-Ying
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Hsu, Terng-Yin
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資訊工程學系
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Department of Computer Science
This paper presents a novel digital beamforming to improve channel quality. By estimating the received channel impulse response (CIR) to calculate the arrival of angle (AOA) of received signal, and we scan the AOA to adjust the weighting vector of received signal and improve the channel quality. The performance of system with digital beamforming can improve 16 dB signal to noise ratio (SNR) in non-line of sight (NLOS).