DOAJ Open Access 2013

Low-Grazing Angle Detection in Compound-Gaussian Clutter with Hybrid MIMO Radar

Jincan Ding Haowen Chen Hongqiang Wang Xiang Li Zhaowen Zhuang

Abstrak

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.

Penulis (5)

J

Jincan Ding

H

Haowen Chen

H

Hongqiang Wang

X

Xiang Li

Z

Zhaowen Zhuang

Format Sitasi

Ding, J., Chen, H., Wang, H., Li, X., Zhuang, Z. (2013). Low-Grazing Angle Detection in Compound-Gaussian Clutter with Hybrid MIMO Radar. https://doi.org/10.1155/2013/374342

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Informasi Jurnal
Tahun Terbit
2013
Sumber Database
DOAJ
DOI
10.1155/2013/374342
Akses
Open Access ✓