scholarly journals Optimization of Transmitter-Receiver Pairing of Spaceborne Cluster Flight Netted Radar for Area Coverage and Target Detection

2021 ◽  
Vol 2021 ◽  
pp. 1-21
Author(s):  
Tingting Yan ◽  
Shengbo Hu ◽  
Jianan Cai ◽  
Jinrong Mo ◽  
Mingfei Xia
Keyword(s):  
Distribution Function ◽  
Target Detection ◽  
Distance Distribution ◽  
Area Coverage ◽  
Target Distance ◽  
Geometric Probability ◽  
Bistatic Radar ◽  
Probability Method ◽  
Radar Target ◽  
Distance Distribution Function

In this paper, we investigate the optimization problem of the transmitter-receiver pairing of spaceborne cluster flight netted radar (SCFNR) for area coverage and target detection. First of all, we propose the novel concept of SCFNR integrated cluster flight spacecraft with netted radar, the mobility model for bistatic radar pair with twin-satellite mode, and formulate the radar-target distance distribution function and radar-target distance product distribution function with geometric probability method. Secondly, by dividing surveillance region into grids, we define the 0-1 grid coverage matrix for bistatic radar and the transmitter-receiver pairing matrix for SCFNR with using radar equation and the radar-target distance distribution function, and we describe the optimal problem of transmitter-receiver pairing of SCFNR for area coverage and target detection by defining K-grid coverage matrix. Thirdly, we propose a new algorithm integrated particle swarm optimization with Hungarian algorithm (PSO-HA) to address the optimal problem, which is actually one-to-one pairing problem. Finally, we validate the effectiveness and reasonability of the proposed algorithm through numerical analysis.

Analytical solution of the PELDOR inverse problem using the integral Mellin transform

2017 ◽  
Vol 19 (48) ◽  
pp. 32381-32388 ◽  
Author(s):  
Anna G. Matveeva ◽  
Vyacheslav M. Nekrasov ◽  
Alexander G. Maryasov
Keyword(s):  
Inverse Problem ◽  
Distribution Function ◽  
Analytical Solution ◽  
Short Distance ◽  
Mellin Transform ◽  
Distance Distribution ◽  
Distance Distribution Function ◽  
Distance Range ◽  
Model Free ◽  
Model Free Approach

The model-free approach used does not introduce systematic distortions in the computed distance distribution function between two spins and appears to result in noise grouping in the short distance range.

On some classes of distance distribution function-valued submeasures

2011 ◽  
Vol 74 (5) ◽  
pp. 1545-1554 ◽  
Author(s):  
Lenka Halčinová ◽  
Ondrej Hutník ◽  
Radko Mesiar
Keyword(s):  
Distribution Function ◽  
Distance Distribution ◽  
Distance Distribution Function

Fault Location for Distribution Networks Based on Node Voltage Equation

2013 ◽  
Vol 816-817 ◽  
pp. 545-549
Author(s):  
Chao Guo Tang ◽  
Feng Xiang Dong ◽  
Zheng Yuan ◽  
Dan Tan ◽  
Wen Hai Zhang
Keyword(s):  
Distribution Function ◽  
Fault Location ◽  
Distribution Networks ◽  
Distance Distribution ◽  
Neutral System ◽  
Distance Distribution Function ◽  
Load Variations ◽  
Data Matching ◽  
Node Voltage ◽  
Isolated Neutral

Proposed a single end fault location algorithm based on fault distance distribution function to implement fault location for isolated neutral system. Based on bus impedance matrix, establish fault distance distribution function adapted to all kind of asymmetric shorted fault in insulated neutral system. Combine the voltage sag data measured at substation to determine the most possible fault point through data matching and analysis. The method can implement fault location for all kind of asymmetric shorted fault and doesnt need much iterative procedure. Also, it is applicable to complicated systems with multi-branch and is quite robust to load variations. Simulation results for a 10Kv typical distribution network verify the validity of the method.

scholarly journals A TIME-OPTIMAL ALGORITHM FOR THE ESTIMATION OF CONTACT DISTRIBUTION FUNCTIONS OF RANDOM SETS

2011 ◽  
Vol 23 (3) ◽  
pp. 177 ◽  
Author(s):  
Johannes Mayer
Keyword(s):  
Distribution Function ◽  
Optimal Algorithm ◽  
Linear Time ◽  
Distribution Functions ◽  
Distance Distribution ◽  
Random Sets ◽  
Distance Distribution Function ◽  
Structuring Element ◽  
Time Optimal ◽  
Contact Distribution

This paper presents a linear-time and therefore time-optimal algorithm for the estimation of distance distribution functions and contact distribution functions of random sets. The distance distribution function is the area fraction of a dilated set, where this function depends on the size of the structuring element used for the dilation. Furthermore, contact distribution functions are related to distance distribution functions. Minussampling estimators are used for the estimation.

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