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- 저자 : ( Yinyin Wang ) (검색결과 6 건)
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( Zhiyong Liu ),( Yinghua Wang ),( Lizhong Song ),( Yinyin Wang ),( Fusheng Dai ) 한국인터넷정보학회 2018 KSII Transactions on Internet and Information Syst Vol.12 No.1
In this paper, we propose a joint adaptive combining and variable tap-length multiuser detector (MUD) for amplify-and-forward (AF) underwater acoustic cooperative interleave-division multiple access (IDMA) communication system. The proposed MUD jointly realizes tap-length adjustment, adaptive combining, and multiuser detection. In contrast to the existing methods, the proposed detector can adaptively combine the received signals from different nodes at destination, and does not need the assumption that full and perfect channel state information (CSI) of all the links at the receiver is known. Moreover, the proposed detector can adaptively adjust the tap coefficient vector and tap-length of each branch according to the specific channel profile of each branch. Simulation results validate the feasibility and show the advantages of the proposed detector against existing counterparts.
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$H_{\infty}$ filter for flexure deformation and lever arm effect compensation in M/S INS integration
Liu, Xixiang,Xu, Xiaosu,Wang, Lihui,Li, Yinyin,Liu, Yiting The Society of Naval Architects of Korea 2014 International Journal of Naval Architecture and Oc Vol.6 No.3
On ship, especially on large ship, the flexure deformation between Master (M)/Slave (S) Inertial Navigation System (INS) is a key factor which determines the accuracy of the integrated system of M/S INS. In engineering this flexure deformation will be increased with the added ship size. In the M/S INS integrated system, the attitude error between MINS and SINS cannot really reflect the misalignment angle change of SINS due to the flexure deformation. At the same time, the flexure deformation will bring the change of the lever arm size, which further induces the uncertainty of lever arm velocity, resulting in the velocity matching error. To solve this problem, a $H_{\infty}$ algorithm is proposed, in which the attitude and velocity matching error caused by deformation is considered as measurement noise with limited energy, and measurement noise will be restrained by the robustness of $H_{\infty}$ filter. Based on the classical "attitude plus velocity" matching method, the progress of M/S INS information fusion is simulated and compared by using three kinds of schemes, which are known and unknown flexure deformation with standard Kalman filter, and unknown flexure deformation with $H_{\infty}$ filter, respectively. Simulation results indicate that $H_{\infty}$ filter can effectively improve the accuracy of information fusion when flexure deformation is unknown but non-ignorable.
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( Xiulin Qiu ),( Yongsheng Xie ),( Yinyin Wang ),( Lei Ye ),( Yuwang Yang ) 한국인터넷정보학회 2021 KSII Transactions on Internet and Information Syst Vol.15 No.11
The utilization of UAVs in various fields has led to the development of flying ad hoc network (FANET) technology. In a network environment with highly dynamic topology and frequent link changes, the traditional routing technology of FANET cannot satisfy the new communication demands. Traditional routing algorithm, based on geographic location, can “fall” into a routing hole. In view of this problem, we propose a geolocation routing protocol based on multi-agent reinforcement learning, which decreases the packet loss rate and routing cost of the routing protocol. The protocol views each node as an intelligent agent and evaluates the value of its neighbor nodes through the local information. In the value function, nodes consider information such as link quality, residual energy and queue length, which reduces the possibility of a routing hole. The protocol uses global rewards to enable individual nodes to collaborate in transmitting data. The performance of the protocol is experimentally analyzed for UAVs under extreme conditions such as topology changes and energy constraints. Simulation results show that our proposed QLGR-S protocol has advantages in performance parameters such as throughput, end-to-end delay, and energy consumption compared with the traditional GPSR protocol. QLGR-S provides more reliable connectivity for UAV networking technology, safeguards the communication requirements between UAVs, and further promotes the development of UAV technology.
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The behaviors of V2O5–WO3/TiO2 loaded on ceramic surfaces for NH3–SCR
Boxiong Shen,Fumei Wang,Bin Zhao,Yongwang Li,Yinyin Wang 한국공업화학회 2016 Journal of Industrial and Engineering Chemistry Vol.33 No.-
The catalysts of V2O5–WO3/TiO2 loaded on ceramic surfaces were investigated to evaluate the behaviorsof catalytic activities, sulfur tolerance, K resistance, activities regeneration for K-poisoned catalyst andSi-modification in consideration the catalysts characterization. The results indicated that the high SCRactivities of these catalysts correlated with the large acid amount, the absorbed oxygen and the welldispersionof vanadium and tungsten on the surfaces. Washing the K-poisoned catalysts with sulfuricacid could partially recover the catalytic activity because of the K dissolution. Moreover, theincorporation of SiO2 with TiO2 considerably improved the resistance toward potassium because ofincreasing the acidity of the V2O5–WO3/TiO2 catalyst. The NO conversion increased from 26 to 68% for KpoisonedVW/TiO2(C-400) catalyst to 76–98% for K–VW/TiO2–SiO2(9)(C-400) catalyst at 260–410 8C. TheNH3 absorption of VW/TiO2–SiO2(6)(C-400) was 236.3 mmol/g, which was much higher than that of VW/TiO2(C-400) (73.3 mmol/g) (approximately 3.2 times higher).
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Xixiang Liu,Xiaosu Xu,Lihui Wang,Yinyin Li,Yiting Liu 대한조선학회 2014 International Journal of Naval Architecture and Oc Vol.6 No.3
On ship, especially on large ship, the flexure deformation between Master (M)/Slave (S) Inertial Navigation System (INS) is a key factor which determines the accuracy of the integrated system of M/S INS. In engineering this flexure deformation will be increased with the added ship size. In the M/S INS integrated system, the attitude error between MINS and SINS cannot really reflect the misalignment angle change of SINS due to the flexure deformation. At the same time, the flexure deformation will bring the change of the lever arm size, which further induces the uncertainty of lever arm velocity, resulting in the velocity matching error. To solve this problem, a H∞ algorithm is proposed, in which the attitude and velocity matching error caused by deformation is considered as measurement noise with limited energy, and measurement noise will be restrained by the robustness of H∞ filter. Based on the classical “attitude plus velocity” matching method, the progress of M/S INS information fusion is simulated and compared by using three kinds of schemes, which are known and unknown flexure deformation with standard Kalman filter, and unknown flexure deformation with H∞ filter, respectively. Simulation results indicate that H∞ filter can effectively improve the accuracy of information fusion when flexure deformation is unknown but non-ignorable.
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