Evaluation of Data Fusion in Radars Network and Determination of Optimum Algorithm

2011 ◽  
Vol 2 (4) ◽  
pp. 51-67 ◽  
Author(s):  
Ali Naseri ◽  
Omid Azmoon
Keyword(s):  
Data Fusion ◽  
Optimum Algorithm ◽  
Evaluation Of Data

Determination of 10-HDA in royal jelly by ATR-FTMIR and NIR spectral combining with data fusion strategy

Optik ◽  
2020 ◽  
Vol 203 ◽  
pp. 164052 ◽  
Author(s):  
Xinhao Yang ◽  
Yuanpeng Li ◽  
Lei Wang ◽  
Liqun Li ◽  
Liu Guo ◽  
...  
Keyword(s):  
Data Fusion ◽  
Royal Jelly ◽  
Fusion Strategy

scholarly journals Direct Position Determination of Noncircular Sources with Multiple Nested Arrays: Reduced Dimension Subspace Data Fusion

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Yang Qian ◽  
Dalin Zhao ◽  
Haowei Zeng
Keyword(s):  
Data Fusion ◽  
Linear Array ◽  
Degree Of Freedom ◽  
Search Problem ◽  
Positioning Accuracy ◽  
Position Determination ◽  
Spatial Degree ◽  
Reduced Dimension ◽  
Nested Arrays

Direct position determination (DPD) of noncircular (NC) sources with multiple nested arrays (NA) is investigated in this paper. Noncircular sources are used to expand the dimension of the received signal matrix, so the number of identifiable information sources and the accuracy of direct position determination are improved. Furthermore, nested array increases spatial degree of freedom. In this paper, the high-dimensional search problem of noncircular sources is investigated. Therefore, we propose algorithm dimension reduction subspace data fusion (RD-SDF) to reduce complexity and increase positioning accuracy. Simulation results show that the proposed RD-SDF algorithm for multiple nested arrays with noncircular sources has improved positioning accuracy with higher spatial degree of freedom than SDF, Capon, and two-step algorithms with uniform linear array and circular sources (CS).

scholarly journals Review on Construction Procedures of Driving Cycles

2020 ◽  
Vol 5 (2) ◽  
pp. 266-285
Author(s):  
Levente Czégé ◽  
Attila Vámosi ◽  
Imre Kocsis
Keyword(s):  
Energy Consumption ◽  
Data Collection ◽  
Dynamic Simulation ◽  
Statistical Evaluation ◽  
Driving Cycle ◽  
Driving Cycles ◽  
Construction Techniques ◽  
The Future ◽  
Evaluation Of Data

The goal of this paper is to give an overview of the literature of construction techniques of driving cycles. Our motivation for the overview is the future goal of constructing our own driving cycles for various types of vehicles and routes. This activity is part of a larger project focusing on determination of fuel and energy consumption by dynamic simulation of vehicles. Accordingly, the papers dealing with sample route determination, data collection and processing, driving cycle construction procedures, statistical evaluation of data are in our focus.

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