Username   Password       Forgot your password?  Forgot your username? 

ISSUES BY YEAR

Volume 15 - 2019

No.1 January 2019
No.1 January 2019
No.2 February 2019
No.2 February 2019
No.3 March 2019
No.3 March 2019

Volume 14 - 2018

No.1 January 2018
No.1 January 2018
No.3 March 2018
No.3 March 2018
No.4 April 2018
No.4 April 2018
No.5 May 2018
No.5 May 2018
No.6 June 2018
No.6 June 2018
No.7 July 2018
No.7 July 2018
No.8 August 2018
No.8 August 2018
No.9 September 2018
No.9 September 2018
No.10 October 2018
No.10 October 2018
No.11 November 2018
No.11 November 2018
No.12 December 2018
No.12 December 2018

Volume 13 - 2017

No.4 July 2017
No.4 July 2017
No.5 September 2017
No.5 September 2017
No.7 November 2017
No.7 November 2017
No.8 December 2017
No.8 December 2017

Volume 12 - 2016

Volume 11 - 2015

Volume 10 - 2014

Volume 9 - 2013

Volume 8 - 2012

Volume 7 - 2011

Volume 6 - 2010

Volume 5 - 2009

Volume 4 - 2008

Volume 3 - 2007

Volume 2 - 2006

 

Performance Analysis of ADS-B Overlapping Signal Separation Algorithm based on RLS

Volume 14, Number 3, March 2018, pp. 585-591
DOI: 10.23940/ijpe.18.03.p20.585591

Zhaoyue Zhang

College of Air Traffic Management, Civil Aviation University of China, Tianjin, 300300, China

(Submitted on December 9, 2017; Revised on January 16, 2018; Accepted on February 17, 2018)


Abstract:

In order to solve the problem of incorrectly decode the ADS-B signal and the missing aircraft information caused by overlap and interference, in the information transmission process of 1090ES ADS-B signal, a multi overlapping 1090ES ADS-B signal separation algorithm based on RLS algorithm is proposed. After a comprehensive analysis of the ADS-B signal to a plurality of base stations, the algorithm applies RLS blind source separation and recovers the source signals of ADS-B, thereby improving signal decoding accuracy and the dynamic performance monitoring for aircraft. The paper has verified the signal separation, including signals based on two level overlapped and three level overlapped and signals with noise, and verified the feasibility of RLS algorithm in ADS-B signal separation by MATLAB simulation test.

 

References: 9

  1. B. S. Ali, “System specifications for developing an Automatic Dependent Surveillance-Broadcast (ADS-B) monitoring system,” International Journal of Critical Infrastructure Protection, vol. 15, pp. 40-46, December 2016.
  2. B. S. Ali, W. Y. Ochieng, and R. Zainudin, “An analysis and model for Automatic Dependent Surveillance Broadcast (ADS-B) continuity,” Gps Solutions, vol. 1, pp. 1-14, 2017.
  3. S. Cruces-Alvarez, A. Cichocki, L. Castedo-Ribas, “An iterative inversion approach to blind source separation,” IEEE Press, 2000.
  4. T. Delovski, K. Werner, T. Rawlik, “ADS-B over Satellite The world’s first ADS-B receiver in Space,” in Proceedings of the Small Satellites Systems and Services Symposium, 2014.
  5. R. V. D. Pryt and R. Vincent, “A Simulation of Signal Collisions over the North Atlantic for a Spaceborne ADS-B Receiver Using Aloha Protocol,” Positioning, vol. 6, no. 3, pp. 23-31, 2015.
  6. RTCA, “DO-260B: Minimum Operational Performance Standards for 1090 MHZ Extended Squitter Automatic Dependent Surveillance-Broadcast (ADS-B) and Traffic Information Services Broadcast (TIS-B),” 2013.
  7. K. Y. Yan. K. Y, L. Ze-Jun, H. W. Shi, “An Improved Fast ICA ADS-B 1090ES Signal Separation Technique,” Computer & Modernization, 2014
  8. H. Yu, Z. Liu, “The Research on the Adaptive Algorithms of Blind Signal Separation,” Computing Technology and Automation, vol. 4, pp. 76-79, 2008.
  9. W. T. Zhang, S. T. Lou, Y. L. Zhang, “Robust nonlinear power iteration algorithm for adaptive blind separation of independent signals,” Digital Signal Processing, vol. 20, no. 2, pp. 541-551, 2010

 

Please note : You will need Adobe Acrobat viewer to view the full articles.Get Free Adobe Reader

Attachments:
Download this file (IJPE-2018-03-20.pdf)IJPE-2018-03-20.pdf[Performance Analysis of ADS-B Overlapping Signal Separation Algorithm based on RLS]265 Kb
 

CURRENT ISSUE

Prev Next

Cascaded Trust Network-based Block-Incremental Recommendation Strategy

Shujuan Ji, Da Li, Qing Zhang, Chunjin Zhang, and Chunxiao Bao

Read more

Cuckoo-based Malware Dynamic Analysis

Lele Wang, Binqiang Wang, Jiangang Liu, Qiguang Miao, and Jianhui Zhang

Read more

Colorization for Anime Sketches with Cycle-Consistent Adversarial Network

Guanghua Zhang, Mengnan Qu, Yuhao Jin, and Qingpeng Song

Read more

Bayesian Network Model for Learning Arithmetic Concepts

Yali Lv, Tong Jing, Yuhua Qian, Jiye Liang, Jianai Wu, and Junzhong Miao

Read more

Collaboration System Design of the Transportation Platform

Zhongwen Wang, Dong Liang, Ruizhen Duan, and Mingshan Chi

Read more

Specific Emitter Identification based on Power Amplifier

Zhen Zhang, Jie Chang, Mengqiu Chai, and Nan Tang

Read more

NRSSD: Normalizing Received Signal Strength to Address Device Diversity Problem in Fingerprinting Po…

Chunxiu Li, Jianli Zhao, Qiuxia Sun, Xiang Gao, Guoqiang Sun, and Chendi Zhu

Read more

Fast AIS Data Decoding Algorithm for Multi-Core CPU

Xiangkun Zeng, Huaran Yan, Yingjie Xiao and Xiaoming Yang

Read more
This site uses encryption for transmitting your passwords. ratmilwebsolutions.com