In passive bearing-only localization of onboard mono-station, if abnormal error existed in observed value, using extended Kalman filter (EKF) algorithm can lead to biased results. For enhance the robustness of the algorithm, to construct robustness equivalent gain matrix on the basis of standardized predicted residual, and apply the robustness EKF algorithm to passive bearing-only localization of onboard mono-station. According to the characteristics of inefficient robustness EKF algorithm, combined with F distribution statistics, propose the mono-station passive location algorithm based on the improved extended Kalman filtering, and by adding single abnormal error and continuous abnormal error in observed value, test the resistant ability of algorithm to different abnormal errors. Simulation shows that the proposed algorithm can weaken the influence of abnormal error on position estimation, and can improve the efficiency of positioning based on F distribution discriminant algorithm.

http://www.sersc.org/journals/IJFGCN/vol9_no11/23.pdf

Pseudo Base Location for Mobile Terminal with Abnormal Dynamic Access

The main feature of the multi-criteria optimization of the design processes of complex electronic devices is that they are all interconnected, heterogeneous in nature and, as a rule, non-linear. That is, by changing some of them by varying the corresponding parameters, we inevitably change other parameters of the system, and not always in the right direction. The purpose of the work is to propose a way to organize the procedure for finding the optimal solution to multicriteria design problems. When developing and creating new schemes, structures and systems, the task of determining the optimal values of the parameters of the designed technical device or system is reduced to the task of finding the extremum of a certain function, called the quality function. Usually, it is a non-linear function of many independent variables, which, as a rule, cannot be investigated by analytical methods. In this situation, it is advisable to search for a solution to the problem using special algorithms. At the early stages of designing complex radio electronic devices, an algorithm for finding the optimal solution based on the application of search optimization theory methods is proposed. The paper describes the procedure for finding the optimal solution, the distinctive feature of which is that during the search for a solution, information is accumulated and a search direction vector is constructed. This vector offers options for changing weights for subsequent search procedures. The algorithm developed on its basis is used in the information system for the complex analysis of the designs of radio-electronic facilities. The use of random search provides the algorithm with global properties, reduces the number of objective function calculations by one step, which is especially noticeable with a large number of optimized parameters. Allows you to quite simply include any restrictions on the set of valid values of the vector of optimized parameters, which is not always possible when using regular search methods. The proposed algorithm is simply tuned to search for a global extremum by selecting the appropriate parameters. For each specific case, there are some optimal ratios of the values of these algorithm parameters, which, when searching for a solution, reduce the number of working steps. The developed algorithm is less critical to the optimal values of its own parameters, which makes it much easier to tune it when solving practical problems of optimizing design processes.

Control algorithm for decision making in multi-criteria optimization problems

A generalized formulation of the problem of structural and parametric synthesis of complex technical systems under conditions of uncertainty based on the results of experimental data is presented, complementing the methodology of system engineering in life cycle management. Approaches to solving the problem of restoring design and functional relationships and clarifying the design parameters and characteristics of unmanned systems obtained from the results of field tests are proposed. As an example, a prototype of a subsonic unmanned system with specified design requirements is considered. the methodological basis is the theory of structural-parametric synthesis and statistical analysis of complex systems, as well as methods of mathematical statistics and parametric optimization. the problem of structural-parametric synthesis is formed by supplementing it with operators for the disclosure of uncontrolled factors. In order to find an analytical solution, the decomposition of the problem was carried out and the need to solve a set of interrelated tasks to find the correspondence of design parameters and experimental data was shown. the quality of the restored dependencies was assessed by the criterion of regularity and non-bias. A software and methodological complex for the statistical synthesis of an unmanned system is presented. the solution of the task allows us to analyze the compliance of design parameters and characteristics of unmanned systems with experimental data, which allows us to restore the design and functional connections of the designed unmanned system. This will allow for more efficient use of financial, production and time resources in the design of unmanned systems.

Structural-Parametric Synthesis of Complex Technical Systems Under Conditions of Uncertainty Based on Statistical Analysis of Experimental Data

For exploring wireless sensor network - a self-organized network, a new node location algorithm based on statistical uncorrelated vector (SUV) model, namely SUV location algorithm, is proposed. The algorithm, by translating the node coordinate, simplifies the solution to double center coordinate matrix, and gets the coordinate inner product matrix; then it uses statistical uncorrelated vectors to reconstruct the coordinates of the inner product matrix and remove the correlation of inner matrix of coordinates caused by the ranging error, so as to reduce the impact of ranging error on subsequent positioning accuracy. The experimental results show that the proposed algorithm does not consider the network traffic, bust still has good performance in localization. At last, it is concluded that reducing the amount of communication of sensor nodes is beneficial to prolong the service life of the sensor nodes, thus increasing the lifetime of the whole network.

/pdf/a-localization-algorithm-of-wireless-sensor-network-based-on-m7gcowf35y.pdf

A Localization Algorithm of Wireless Sensor Network Based on Statistical Uncorrelated Vector

Popular Tasks used by Researchers

How can I help with your research?

Get more enhanced response by uploading the PDFs you want me to reference.

No relevant PDFs in your library

SciSpace is the AI research assistant for academics. Run systematic literature reviews on 280M+ papers, and write papers with cited sources. Trusted by 1M+ students, PhDs & researchers.

SciSpace | AI for Research

We encountered an error while loading the panel. Please try refreshing the page.

Something went wrong

Analyze PDFs

Code & Manuscripts

Funding & Grants

Literature & Patents

Medical & Clinical Data

Systematic Review

Visualize & Present

Web & Data

Build a Google Scholar-like website for your research.

Build a website

Create charts and images for your research

Create a Chart

Write a paper for submission to a journal

Draft a manuscript

Patent Search

Design eye-catching scientific posters in minutes.

Scientific Poster Generation

Systematic Literature Review

Anyone with the link can view this chat. You can switch it back to private anytime.

One task is running at the moment. Your messages will be shown right after.

Drag and drop or click here to browse

Loved by <highlight>1 million+</highlight> researchers

Extract a list of specific topics and their sources from unstructured text

Topics

Compare and analyze relevant papers that matches with your search

Papers

Get insights from PDFs and bookmarked papers from your library

My library

Recent searches

Try searching for:

Catch AI-generated content in scholarly and non-scholarly content

{ai} Detector

Ai Writer

Get PDF Summaries, highlighted text explanations 

Chat with PDF

Effortlessly create in-text citations and bibliographies in APA and 2,500 other formats

Citation generator

Get explanations, summaries, and answers on academic papers

Ease up your research workflow with {scispace}'s cohort of exciting AI tools

Elevate your academic writing skills and convey your ideas the way you want

Paraphraser

Explore our range of reading and writing tools

Your file is being prepared and should be ready in a few minutes. If it's a large file, it might take a bit longer. You can close this window, and we'll email you the file when it's done.

You have reached a maximum limit of <strong>{limit}</strong> columns in the table. Remove at least <strong>1</strong> column to add or create another one.

Min Wang

Author Tools

Chat about Author

Papers

A Localization Algorithm of Wireless Sensor Network Based on Statistical Uncorrelated Vector