Maneuvering Target Detection Based on JRC System in Gaussian and Non-Gaussian Clutter

Joint Authors

Wu, Le-nan
Yao, Yu
Zhang, Chenmei

Source

Mathematical Problems in Engineering

Issue

Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-9, 9 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2015-12-28

Country of Publication

Egypt

No. of Pages

9

Main Subjects

Civil Engineering

Abstract EN

Aimed at the problem of detecting maneuvering targets in the Gaussian and sea clutter environments and based on the established motion state model, this paper proposed a new scheme that uses a joint radar-communication (JRC) system with Kalman filter to accurately detect the target with the generalized likelihood ratio test (GLRT) theory and a constant false alarm rate (CFAR) based threshold.

Also, the theoretical threshold and probability function of GLRT target detection based on CFAR were given.

Moreover, target detection probability of the new JRC system in Weibull and K distribution clutter is deduced.

In addition to theoretical considerations, simulations and measurement results of the new JRC systems demonstrate excellent detection performance for maneuvering targets in the Weibull and K distribution channel.

American Psychological Association (APA)

Yao, Yu& Wu, Le-nan& Zhang, Chenmei. 2015. Maneuvering Target Detection Based on JRC System in Gaussian and Non-Gaussian Clutter. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1073906

Modern Language Association (MLA)

Yao, Yu…[et al.]. Maneuvering Target Detection Based on JRC System in Gaussian and Non-Gaussian Clutter. Mathematical Problems in Engineering No. 2015 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1073906

American Medical Association (AMA)

Yao, Yu& Wu, Le-nan& Zhang, Chenmei. Maneuvering Target Detection Based on JRC System in Gaussian and Non-Gaussian Clutter. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-9.
https://search.emarefa.net/detail/BIM-1073906

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1073906