A NEW METHOD IN MOVING TARGET RECOGNITION USING GROUND SURVEILLANCE PULSE DOPPLER RADARS

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

ALAEI MOHAMMAD; AMIN DAVAR H.R.

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: JOURNAL OF IRANIAN ASSOCIATION OF ELECTRICAL AND ELECTRONICS ENGINEERS Year:2010 | Volume:6 | Issue:2 Page(s): 1-7

Download Full-Text

Persian Verion

View:

899

Download:

Cites:

Information Journal Paper

Title

A NEW METHOD IN MOVING TARGET RECOGNITION USING GROUND SURVEILLANCE PULSE DOPPLER RADARS

Author(s)

ALAEI MOHAMMAD | AMIN DAVAR H.R. | Issue Writer Certificate

Keywords

RADARQ3

AUTOMATIC TARGET RECOGNITION AND CLASSIFICATIONQ3

THE CHIRPLET TRANSFORMQ2

ZERNIKE MOMENTSQ3

Abstract

A new automatic target recognition algorithm to recognize and distinguish three classes of targets: personnel, wheeled vehicles and animals, is proposed using a low-resolution ground surveillance pulse Doppler RADAR. THE CHIRPLET TRANSFORMation, a time frequency signal processing technique, is implemented in this paper. The parameterized RADAR signal is then analyzed by the ZERNIKE MOMENTS (ZM) in order to feature extraction and they trained to the Nearest Neighbor classifier. The current work provides a new approach for multi-resolution analysis and classification of non stationary signals with the objective of revealing important features in noisy and cluttered environment. The algorithm is trained and tested on real RADAR signatures of multiple examples of moving targets from each class. Results show that the classifier is invariant to target aspect angle and speed.

Cites

No record.

References

No record.

Cite

APA: Copy

ALAEI, MOHAMMAD, & AMIN DAVAR, H.R.. (2010). A NEW METHOD IN MOVING TARGET RECOGNITION USING GROUND SURVEILLANCE PULSE DOPPLER RADARS. JOURNAL OF IRANIAN ASSOCIATION OF ELECTRICAL AND ELECTRONICS ENGINEERS, 6(2), 1-7. SID. https://sid.ir/paper/115724/en

Vancouver: Copy

ALAEI MOHAMMAD, AMIN DAVAR H.R.. A NEW METHOD IN MOVING TARGET RECOGNITION USING GROUND SURVEILLANCE PULSE DOPPLER RADARS. JOURNAL OF IRANIAN ASSOCIATION OF ELECTRICAL AND ELECTRONICS ENGINEERS[Internet]. 2010;6(2):1-7. Available from: https://sid.ir/paper/115724/en

IEEE: Copy

MOHAMMAD ALAEI, and H.R. AMIN DAVAR, “A NEW METHOD IN MOVING TARGET RECOGNITION USING GROUND SURVEILLANCE PULSE DOPPLER RADARS,” JOURNAL OF IRANIAN ASSOCIATION OF ELECTRICAL AND ELECTRONICS ENGINEERS, vol. 6, no. 2, pp. 1–7, 2010, [Online]. Available: https://sid.ir/paper/115724/en

Related Journal Papers