Adaptive detector design of MIMO radar with unknown covariance matrix

• Published in: Journal of systems engineering and electronics 2010-12, Vol.21 (6), p.954-960
• Main Authors: Kong, Lingjiang, Cui, Guolong, Yang, Xiaobo, Yang, Jianyu
• Format: Article
• Language: English
• Subjects: GLRT; MIMO; 协方差矩阵; 广义似然比检验; 自适应; 设计矩阵; 输出信号; 雷达探测器
• ISSN: 1004-4132; 1004-4132
• DOI: 10.3969/j.issn.1004-4132.2010.06.005

The problem of detecting signal with multiple input mul-tiple output （MIMO） radar in correlated Gaussian clutter dominated scenario with unknown covariance matrix is dealt with. The gen-eral MIMO model, with widely separated sub-arrays and co-located antennas at each sub-array, is adopted. Firstly, the generalized likelihood ratio test （GLRT） with known covariance matrix is ob-tained, and then the Rao and Wald detectors are devised, which have proved that the Rao and Wald test coincide with GLRT detec-tor. To make the detectors fully adaptive, the secondary data with signal-free will be collected to estimate the covariance. The per-formance of the proposed detector is analyzed, however, it is just ancillary. A thorough performance assessment by several numer-ical examples is also given, which has considered the sense with co-located antennas configure of transmitters and receivers array. The results show that the performance the proposed adaptive de-tector is better than LJ-GLRT, and the loss can be acceptable in comparison to their non-adaptive counterparts.