Adaptive Detection Without Training Data in Colocated MIMO Radar

作者：Liu, Weijian^*; Wang, Yongliang; Liu, Jun; Xie, Wenchong; Chen, Hui; Gu, Wenkun

来源：IEEE Transactions on Aerospace and Electronic Systems, 2015, 51(3): 2469-U948.

DOI：10.1109/TAES.2015.130754

• COMPOUND-GAUSSIAN CLUTTER
• MULTIPLE-OUTPUT RADAR
• WALD TESTS DESIGN
• TARGET DETECTION
• PARAMETER-ESTIMATION
• DETECTION ALGORITHM
• CFAR DETECTION
• RAO TEST
• PERFORMANCE
• ANTENNAS

For colocated multiple-input multiple-output (MIMO) radar target detection in colored noise, we propose two adaptive detectors according to the Rao and Wald test criteria. These detectors do not need training data and possess constant false alarm rate properties. We investigate the manner in which they work. From a detection viewpoint, we show that there is no need for matched filtering for colocated MIMO radar. We derive the statistical distributions of the proposed detectors and then obtain the analytical expressions for the probabilities of false alarm and detection for both deterministic and random signals. Numerical examples are provided to compare the detection performance of the Rao and Wald tests with an existing detector.

• 出版日期2015-7
• 单位西安电子科技大学; 中国人民解放军国防科学技术大学; 中国人民解放军空军预警学院