We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 November 2024
Call for Paper
December Edition
IJCA solicits high quality original research papers for the upcoming December edition of the journal. The last date of research paper submission is 20 November 2024

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

An Improved Detection Scheme for Radar System

by L. Donisha Greet, S. Hanis
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 24 - Number 5
Year of Publication: 2011
Authors: L. Donisha Greet, S. Hanis
10.5120/2943-3923

L. Donisha Greet, S. Hanis . An Improved Detection Scheme for Radar System. International Journal of Computer Applications. 24, 5 ( June 2011), 13-17. DOI=10.5120/2943-3923

@article{ 10.5120/2943-3923,
author = { L. Donisha Greet, S. Hanis },
title = { An Improved Detection Scheme for Radar System },
journal = { International Journal of Computer Applications },
issue_date = { June 2011 },
volume = { 24 },
number = { 5 },
month = { June },
year = { 2011 },
issn = { 0975-8887 },
pages = { 13-17 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume24/number5/2943-3923/ },
doi = { 10.5120/2943-3923 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:10:10.682994+05:30
%A L. Donisha Greet
%A S. Hanis
%T An Improved Detection Scheme for Radar System
%J International Journal of Computer Applications
%@ 0975-8887
%V 24
%N 5
%P 13-17
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A sequence of avian radar images containing the moving target is taken using an avian radar system. Radar image contains the complex background and the target (flying birds). The main objective is to detect and track the moving target using Fast Independent Component Analysis (Fast ICA) and Hough Transform. Fast ICA is used to separate the target from the background of the radar image. Constant False Alarm Rate (CFAR) segmentation determines the threshold above which the return echoes have been originated from the moving target. Clutter Suppression is done by Conventional CFAR method. Low segmentation threshold is set to avoid missed targets. Finally, the position of bird is tracked by applying hough transform.

References
  1. Matthew W. Klope, Robert C. Beason, Timothy J. Nohara, Micheal J. Begier, ‘Role of near-miss bird strikes in assessing hazards’, Human Wildlife Conflicts, Vol. 3(2): pp. 208-216, 2009.
  2. Nohara T. J., Weber P., Unkrainec A. et al., ‘An Overview of Avian Radar Developments – Past, Present and Future’, Kingston: Bird Strike Conference, pp.10-13, 2007.
  3. Chen, W.S.
  4. Wei-Shi, Ning, H.S.
  5. Huan-Sheng,Li,J.
  6. Jing, ‘Detecting and tracking of small moving target in avian radar images’, IASP10,pp. 473-476, 2010.
  7. Xiao benlina, li fangfang b, mao xingliangc, jin huazhongb, ‘Study on independent component analysis’ application in classification and change detection of multispectral images’, The international archives of the photogrammetry, remote sensing and spatial information sciences.Vol. XXXVII. Part b7, 2008.
  8. Hyavrinen A., ‘Fast and Robust Fixed-Point Algorithms for Independent Component Analysis’, IEEE Transactions on Neural Networks, Vol. 10(3): pp. 626-634,1999.
  9. Hyävrinen A., E. Oja., ‘Independent component analysis: algorithms and applications’, Neural Networks, Vol. 13(4-5): pp.411-430, 2000.
  10. Tomas Zeman, ‘Newton's method for Fast ICA algorithm’, 2000.
  11. Liu N. N. and Li J. W., ’A New Detection Algorithm Based on Cfar for Radar Image with Homogeneous Back-Ground’, Progress in Electromagnetics Research C, Vol. 15, pp.13-22, 2010.
  12. John Weatherwax ‘An Improved Method for Detection of Stationary Targets in High Clutter SAR Images’, IEEE Transactions on Aerospace And Electronic Systems, Vol. 1, No. 13, 2005.
  13. Chen J., Leung H., Lo T., et al. A Modified Probabilistic Data Association Filter in Real Clutter Environment. IEEE Transactions on Aerospace and Electronic Systems, vol. 32(1): 300-314, 1996.
Index Terms

Computer Science
Information Sciences

Keywords

Radar target Fast ICA CFAR threshold clutter track Hough

Powered by PhDFocusTM