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Journals / Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi / 2018 / Cilt: 24 - Sayı: 5

Improvement of indoor positioning accuracy of ultra-wide band sensors by using big bang-big crunch optimization method

Büyük patlama büyük çöküş optimizasyon yöntemi ile ultra geniş band sensörlerinin iç mekân konum belirleme doğruluklarının iyileştirilmesi

Taner ARSAN
Pages
921–928
Publication Date
2018-10-12
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

By correcting the measurement results with the Big Bang - Big Crunch optimization algorithm, the average error was reduced from the previous 20.72 cm to 15.02 cm, thus the accuracy of the measurement results were improved.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Ultra-wide Band technology is an emerging technology that offers successful solutions in many indoor positioning systems and performs better than other methods.
📊
Key Findings & Data:In this study, an indoor positioning system using Ultra-wide Band (UWB) sensors was developed and it was aimed to increase the accuracy level of the standard equipment with the additional algorithms used while reducing the average error.
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Conclusion & Impact:By correcting the measurement results with the Big Bang - Big Crunch optimization algorithm, the average error was reduced from the previous 20.72 cm to 15.02 cm, thus the accuracy of the measurement results were improved.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:İç mekân konum belirleme · Uçuş zamanı · Ultra geniş band sensörler

Abstract

Ultra-wide Band technology is an emerging technology that offers successful solutions in many indoor positioning systems and performs better than other methods. In this study, an indoor positioning system using Ultra-wide Band (UWB) sensors was developed and it was aimed to increase the accuracy level of the standard equipment with the additional algorithms used while reducing the average error. For this purpose, the Big Bang-Big Crunch (BB-BC) optimization method has been applied to the experimental indoor positioning system and the positive effect on the measurement accuracy has been proved by the tests made. An area of 39.76 m2 was selected as a test area of 7.35 m × 5.41 m and three different Ultra-wide Band receivers were installed at a height of 2.85 m on a specially designed ceiling system and a total of 10.920 measurements were taken from 182 test points for 60 seconds. By correcting the measurement results with the Big Bang - Big Crunch optimization algorithm, the average error was reduced from the previous 20.72 cm to 15.02 cm, thus the accuracy of the measurement results were improved.

Özet

Ultra geniş band teknolojisi, birçok iç mekân konum belirleme sisteminde başarılı çözümler sunan, diğer yöntemlere kıyasla daha iyi performans gösteren, gelişmekte olan bir teknolojidir. Bu çalışmada, ultra geniş band (Ultra Wide Band-UWB) sensörler kullanılarak bir iç mekân konum belirleme sistemi geliştirilmiş ve kullanılan ek algoritmalarla, standart donanımların sağladığı doğruluk düzeyi arttırılırken aynı zamanda ortalama hatayı azaltmak hedeflenmiştir. Bu amaçla Büyük Patlama - Büyük Çöküş (Big Bang-Big Crunch veya BB-BC) optimizasyon yöntemi deneysel iç mekân konumlandırma sistemine uygulanmış ve ölçüm doğruluğu üzerindeki olumlu etkisi yapılan testlerle kanıtlanmıştır. Test alanı olarak 7.35 m × 5.41 m boyutlarında 39.76 m2'lik bir alan seçilmiş ve özel olarak tasarlanmış bir tavan sistemine yerden 2.85 m yüksekliğe üç farklı UWB alıcı yerleştirilmiş ve 182 adet test noktasından 60 sn. süreyle toplam 10.920 ölçüm alınmıştır. Ölçüm sonuçları Büyük Patlama - Büyük Çöküş optimizasyon algoritması ile düzeltilerek, ortalama hatası önceki 20.72 cm değerinden 15.02 cm’ye düşürülmüş, böylelikle ölçüm sonuçlarının doğruluğu arttırılmıştır.

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Cite This Article

ARSAN, T. (2018). Improvement of indoor positioning accuracy of ultra-wide band sensors by using big bang-big crunch optimization method. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, Cilt: 24 - Sayı: 5, 921–928. https://ajindex.com/articles/42318

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