万良田

个人信息Personal Information

副教授

博士生导师

硕士生导师

任职 : 大数据研究所副所长

性别:男

毕业院校:哈尔滨工程大学

学位:博士

所在单位:软件学院、国际信息与软件学院

学科:软件工程

办公地点:大连理工大学软件学院综合楼219

联系方式:+86-0411-62274379

电子邮箱:wanliangtian@dlut.edu.cn

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A Novel Unitary ESPRIT Algorithm for Monostatic FDA-MIMO Radar

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论文类型:期刊论文

发表时间:2020-02-01

发表刊物:SENSORS

收录刊物:PubMed、EI、SCIE

卷号:20

期号:3

关键字:Unitary ESPRIT; FDA-MIMO radar; parameter estimation; phase period ambiguity

摘要:A novel unitary estimation of signal parameters via rotational invariance techniques (ESPRIT) algorithm, for the joint direction of arrival (DOA) and range estimation in a monostatic multiple-input multiple-output (MIMO) radar with a frequency diverse array (FDA), is proposed. Firstly, by utilizing the property of Centro-Hermitian of the received data, the extended real-valued data is constructed to improve estimation accuracy and reduce computational complexity via unitary transformation. Then, to avoid the coupling between the angle and range in the transmitting array steering vector, the DOA is estimated by using the rotation invariance of the receiving subarrays. Thereafter, an automatic pairing method is applied to estimate the range of the target. Since phase ambiguity is caused by the phase periodicity of the transmitting array steering vector, a removal method of phase ambiguity is proposed. Finally, the expression of Cramer-Rao Bound (CRB) is derived and the computational complexity of the proposed algorithm is compared with the ESPRIT algorithm. The effectiveness of the proposed algorithm is verified by simulation results.