Skip to main content

Advanced Search

Projected result for your current search: 0

Search Operators:

You can use operators in your search query to narrow down your results even more. Click on the search operator to see an explanation of how it works.
Finds documents with exactly this word group, in exactly this word order and spelling (e.g. "employer branding").
Finds documents with both search terms (e.g. sales AND bonus).
Finds documents with one or the other search term (e.g. porsche OR volkswagen).
Finds documents with all search terms. Blank space is understood as AND (e.g. man robot production).
Finds documents with no appearance of the word behind NOT (e.g. ford NOT "harrison ford").
Finds documents where the search term is mentioned at least "n" times."n" may be any number (e.g. COUNT(gear)>8).
Finds documents with both search terms in any word order, permitting "n" words as a maximum distance between them. Best choose between 15 and 30 (e.g. NEAR(recruit, professionals, 20)).
Finds documents with the search term in word versions or composites. The asterisk * marks whether you wish them BEFORE, BEHIND, or BEFORE and BEHIND the search term (e.g. lightweight*, *lightweight, *lightweight*).
Finds documents with the search term in different spellings. "?" allows only one character (e.g. organi?ation).
Special characters are understood as AND (e.g. Miller Bros. & Sons).

Semantic Search

powered by (Link opens in a new window)
loading …
Log in
Top
Wireless Personal Communications

Performance Analysis of Computational Intelligence Correction

  • 11-07-2024
Published in:
Authors
Nalineekumari Arasavali
Sasibhushana Rao Gottapu
Published in
Wireless Personal Communications | Issue 2/2024

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

The article examines the performance of computational intelligence correction methods, specifically focusing on the Kalman filter and its enhancements. It begins with an introduction to the Kalman filter's history and its applications in navigation. The Modified Kalman Filter with Recursive Covariance Estimation (MKF-RCE) is presented as an efficient approach to handle large process uncertainties and measurement noise. The Search and Rescue Optimization (SAR) algorithm is then introduced as a metaheuristic technique that outperforms classical optimization methods. The article further explores the integration of SAR with the Kalman filter to optimize covariance parameters, leading to improved positioning performance. The performance analysis is based on statistical accuracy measures, with real-world data from a GPS receiver in Andhra University, Visakhapatnam, demonstrating the superior accuracy and faster convergence of the proposed method compared to standard approaches. The conclusion highlights the significant improvements in precision and accuracy achieved by the SAR-tuned Kalman filter.
AI Generated

This summary of the content was generated with the help of AI.

Already a customer? Then log in here to gain access.

Customer login

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Engineering + Technology"

Online-Abonnement

Springer Professional "Engineering + Technology" gives you access to:

  • more than 75.000 books
  • more than 390 journals

from the following specialised fileds:

  • Automotive
  • Business IT + Informatics
  • Construction + Real Estate
  • Electrical Engineering + Electronics
  • Energy + Sustainability
  • Mechanical Engineering + Materials
  • Surfaces + Materials Technology





 

Secure your knowledge advantage now!

inform now

Springer Professional "Business + Economics & Engineering + Technology"

Online-Abonnement

Springer Professional "Business + Economics & Engineering + Technology" gives you access to:

  • more than 130.000 books
  • more than 540 journals

from the following subject areas:

  • Automotive
  • Construction + Real Estate
  • Business IT + Informatics
  • Electrical Engineering + Electronics
  • Energy + Sustainability
  • Finance + Banking
  • Management + Leadership
  • Marketing + Sales
  • Mechanical Engineering + Materials
  • Surfaces + Materials Technology
  • Insurance + Risk


Secure your knowledge advantage now!

inform now

Springer Professional "Business + Economics"

Online-Abonnement

Springer Professional "Business + Economics" gives you access to:

  • more than 100.000 books
  • more than 340 journals

from the following specialised fileds:

  • Construction + Real Estate
  • Business IT + Informatics
  • Finance + Banking
  • Management + Leadership
  • Marketing + Sales
  • Insurance + Risk



Secure your knowledge advantage now!

inform now

For explorers: Get to know our platforms better with a free registration.

Register for free
previous article Joint User Scheduling, Trajectory, Beamforming and Power Allocation for Millimeter-Wave Full-Duplex UAV Relay
next article Low Power Wideband Folded Cascade Based Transimpedance Amplifier Using Flipped Voltage Follower and Floating Gate MOSFET
Title
Performance Analysis of Computational Intelligence Correction
Authors
Nalineekumari Arasavali
Sasibhushana Rao Gottapu
Publication date
11-07-2024
Publisher
Springer US
Published in
Wireless Personal Communications / Issue 2/2024
Print ISSN: 0929-6212
Electronic ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-024-11399-3
This content is only visible if you are logged in and have the appropriate permissions.

Other articles of this Issue 2/2024

An Improved Pelican Optimization Algorithm Based Residual Recurrent Neural Network for Channel Estimation with Hybrid Precoder in MIMO-OFDM System

Investigation of the Seasonal Impact of Diversity Gain and Improvement Factors on Signal Availability in Tropical Location

Path Planning of Mobile Robots Under Uncertain Navigation Environments Using FCM Clustering ANFIS

Energy Efficient Routing in Cluster Based Heterogeneous Wireless Sensor Network Using Hybrid GWO and Firefly Algorithm

Verifiable Changeable Threshold Secret Image Sharing Scheme Based on LWE Problem

Autonomous Landing of Unmanned Aerial Vehicles: Hybrid Metaheuristic Aided Detection and Extended Kalman Filter for Localization