Heuristic Global Optimization Algorithm for Estimating a Radio Source Location by a Passive Radar System

The methods for generating estimator for radio source location based on digital processing of signals received at various points in space are one of the main areas of multi-position radar systems’ research. Nowadays the above-mentioned methods that can provide the highest accuracy among the others a...

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Vydáno v:TEM Journal Ročník 9; číslo 2; s. 427 - 433
Hlavní autoři: Ya. Shevgunov, Timofey, Vavilova, Zhanna A, Guschina, Oksana A, N. Efimov, Evgeny
Médium: Journal Article
Jazyk:angličtina
Vydáno: Novi Pazar UIKTEN - Association for Information Communication Technology Education and Science 01.05.2020
Témata:
Accuracy
Algorithms
Aviation
Computer simulation
Error analysis
Estimation
Global optimization
ICT Information and Communications Technologies
Mean square errors
Methods
Optimization algorithms
Radar equipment
Radar systems
Radio
Radio sources (astronomy)
Signal processing
Signal to noise ratio
onestage estimation algorithm
global maximum searching
radio electromagnetic source location
passive radar system
digital signal processing
ISSN:2217-8309, 2217-8333
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Shrnutí:The methods for generating estimator for radio source location based on digital processing of signals received at various points in space are one of the main areas of multi-position radar systems’ research. Nowadays the above-mentioned methods that can provide the highest accuracy among the others are subject of interest. So, the mean square error usually serves as a measure of accuracy, which allows formulating a convenient, for mathematical transformations, quality criteria and synthesizing the algorithms. The traditional estimation algorithms have a multi-stage character, and they are based on the formation of optimal estimators for time and phase delays of the signals and their subsequent conversion to the source coordinates. The research has the modern approaches of the development of new positioning algorithms to guarantee the achievement of the minimum mean square error and do not create excessive computing load.
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ISSN:2217-8309
2217-8333
DOI:10.18421/TEM92-02