scholarly journals Efficiency Improvement of Kalman Filter for GNSS/INS through One-Step Prediction ofPMatrix

2015 ◽  
Vol 2015 ◽  
pp. 1-13 ◽  
Author(s):  
Qingli Li ◽  
Yalong Ban ◽  
Xiaoji Niu ◽  
Quan Zhang ◽  
Linlin Gong ◽  
...  
Keyword(s):  
Kalman Filter ◽  
Power Consumption ◽  
Low Power ◽  
Real Time ◽  
Low Power Consumption ◽  
One Step ◽  
Kalman Filter Algorithm ◽  
Simplified Algorithm ◽  
Navigation Accuracy ◽  
Computation Load

To meet the real-time and low power consumption demands in MEMS navigation and guidance field, an improved Kalman filter algorithm for GNSS/INS was proposed in this paper named as one-step prediction ofPmatrix. Quantitative analysis of field test datasets was made to compare the navigation accuracy with the standard algorithm, which indicated that the degradation caused by the simplified algorithm is small enough compared to the navigation errors of the GNSS/INS system itself. Meanwhile, the computation load and time consumption of the algorithm decreased over 50% by the improved algorithm. The work has special significance for navigation applications that request low power consumption and strict real-time response, such as cellphone, wearable devices, and deeply coupled GNSS/INS systems.

Radar Based Real-Time Fall Detection System with Low Power Consumption

2021 ◽  
Author(s):  
Jincheng Lu ◽  
Zixuan Ou ◽  
Ziyu Liu ◽  
Cheng Han ◽  
Wenbin Ye
Keyword(s):  
Power Consumption ◽  
Low Power ◽  
Real Time ◽  
Detection System ◽  
Fall Detection ◽  
Low Power Consumption ◽  
Time Fall

scholarly journals Algorithm Improvement of the Low-End GNSS/INS Systems for Land Vehicles Navigation

2013 ◽  
Vol 2013 ◽  
pp. 1-12 ◽  
Author(s):  
Quan Zhang ◽  
Xiaoji Niu ◽  
Hongping Zhang ◽  
Chuang Shi
Keyword(s):  
Quantitative Analysis ◽  
Real Time ◽  
Comprehensive Analysis ◽  
Special Significance ◽  
Land Vehicles ◽  
Time Performance ◽  
Simplified Algorithm ◽  
Navigation Accuracy ◽  
Mems Imu ◽  
Computation Load

Recent advances in MEMS IMUs give the potential to develop affordable low-end GNSS/INS systems for land vehicles navigation (LVN). To improve the performance of low-end GNSS/INS systems, we made detailed quantitative analysis to the computation terms of the INS navigation equation in regard to accuracy impacts and computation loads and then proposed a simplified INS algorithm and adjusted the corresponding Kalman filter of GPS/INS integration. Comprehensive analysis was made to get the quantitative impacts of each simplified term. Results of road test have shown that the degradation of the navigation accuracy caused by the algorithm simplification was much less than that caused by the sensors errors of the MEMS IMU. Meanwhile, the computation load could be reduced by 70% with the simplified algorithm, and the reduction can go further to reach nearly 95% by downsampling IMU data rate simultaneously. Therefore, it is feasible to simplify the INS algorithm without losing accuracy and get benefits of reducing the computation load, which can further enhance the real-time performance of the navigation. The work has special significance for the applications that have limited processor resource and request strict real-time response, such as a deeply coupled GPS/INS receiver.

An implement method for real-time infrared imaging system with low power consumption based on DSP+CPLD

2012 ◽  
Vol 38 (1) ◽  
pp. 14-18
Author(s):  
黄战华 HUANG Zhanhua ◽  
杨鹤猛 YANG Hemeng ◽  
孙立彬 SUN Libin ◽  
蔡怀宇 CAI Huaiyu
Keyword(s):  
Power Consumption ◽  
Low Power ◽  
Real Time ◽  
Infrared Imaging ◽  
Imaging System ◽  
Low Power Consumption ◽  
Infrared Imaging System

Design of the Intrinsic Safety CO Monitor with Low Power Consumption

2014 ◽  
Vol 635-637 ◽  
pp. 886-889
Author(s):  
Rui Qing Mao ◽  
Xi Liang Ma
Keyword(s):  
Power Consumption ◽  
Low Power ◽  
Real Time ◽  
Spark Discharge ◽  
Low Power Consumption ◽  
Safety Technology ◽  
Safety Design ◽  
Toxic Gas ◽  
Intrinsic Safety ◽  
Low Consumption

To monitor the concentration of CO accurately and in real-time in the environment with flammable , explosive and toxic gas, the intrinsic safety CO monitor with low power consumption was designed by using the low power consumption technology and intrinsic safety technology. The feasibility of the intrinsic safety design was verified by the electric spark discharge calculation and heating calculation. Low power experiments verified the low consumption characteristic of the CO monitor. This method can also be extended to the system to monitor other poisonous and harmful gases.

scholarly journals Research on data transmission application based on USB3.0 bridge chip and FPGA

2018 ◽  
Vol 189 ◽  
pp. 04002
Author(s):  
Dezhuang Ma ◽  
Lunhui Deng
Keyword(s):  
Power Consumption ◽  
Low Power ◽  
Real Time ◽  
Data Transmission ◽  
Transmission System ◽  
Host Computer ◽  
Low Power Consumption ◽  
Practical Application ◽  
Data Transmission System ◽  
Design Requirements

Aiming at the shortcomings of data transmission system, such as poor portability, unstable data transmission and high cost, the combination of FPGA and USB3.0 technology is adopted to realize the real-time and reliable access to the host computer platform. Practical application shows that this platform has the advantages of small size, low power consumption, hot plug, etc. And the system meets the design requirements.

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