@inproceedings{a2d9708464b74008872a5ffea70baeeb,
title = "A Localization Estimation Method for Coherent target based on FDA-MIMO",
abstract = "The combination of frequency diverse array (FDA) and MIMO radar provides the possibility of estimating both angle and distance simultaneously by subspace method. However, when using subspace method and the signals are coherent, it need to guarantee the nonsingularity by using spatial smoothing which will reduce the aperture. To overcome this problem, we present a spatial smoothing method for coherent signal in FDA-MIMO. Proposed method recover the nonsingularity of signal covariance matrix by changing the frequency increment of FDA-MIMO in different periods which can replace the process of dividing transmit array into multiple subarray. Computer simulations validate the efficacy and shows that proposed smoothing method achieves better performance compared with traditional spatial smoothing method.",
keywords = "Frequency diverse array, Parameter Estimation, coherent, spatial smoothing",
author = "Ke Feng and Yougen Xu",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 3rd International Conference on Electronic Information Engineering and Computer Science, EIECS 2023 ; Conference date: 22-09-2023 Through 24-09-2023",
year = "2023",
doi = "10.1109/EIECS59936.2023.10434276",
language = "English",
series = "2023 3rd International Conference on Electronic Information Engineering and Computer Science, EIECS 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1299--1303",
booktitle = "2023 3rd International Conference on Electronic Information Engineering and Computer Science, EIECS 2023",
address = "United States",
}