Low-Grazing Angle Detection in Compound-Gaussian Clutter with Hybrid MIMO Radar. (17th November 2013)

• Record Type: Journal Article
• Authors: Ding, Jincan; Chen, Haowen; Wang, Hongqiang; Li, Xiang; Zhuang, Zhaowen
• Other Names: Hu Hang Academic Editor.
• Is Part Of: International journal of antennas and propagation. Volume 2013(2013)
• Publication Date: 2013-11-17
• Subjects: Electronic apparatus and appliances -- Periodicals; Antennas (Electronics) -- Periodicals; Radio wave propagation -- Periodicals; Antennes (Électronique); Ondes radioélectriques -- Propagation; Antennas (Electronics); Electronic apparatus and appliances; Radio wave propagation; Electronic journals; Periodicals; 621.382405
• DOI: 10.1155/2013/374342
• Languages: English
• ISSNs: 1687-5869

Abstract

Abstract : This paper focuses on the target detection in low-grazing angle using a hybrid multiple-input multiple-output (MIMO) radar systems in compound-Gaussian clutter, where the multipath effects are very abundant. The performance of detection can be improved via utilizing the multipath echoes. First, the reflection coefficient considering the curved earth effect is derived. Then, the general signal model for MIMO radar is introduced in low-grazing angle; also, the generalized likelihood test (GLRT) and generalized likelihood ratio test-linear quadratic (GLRT-LQ) are derived with known covariance matrix. Via the numerical examples, it is shown that the derived GLRT-LQ detector outperforms the GLRT detector in low-grazing angle, and both performances can be enhanced markedly when the multipath effects are considered.