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Mathematical Problems in Engineering
Volume 2015, Article ID 471305, 9 pages
Research Article

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

School of Information Science and Engineering, Southeast University, Nanjing 210096, China

Received 11 August 2015; Revised 1 December 2015; Accepted 9 December 2015

Academic Editor: Vladimir Turetsky

Copyright © 2015 Yu Yao et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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 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 distribution channel.