Parameter estimation for sparse targets in phased-MIMO radar

Parameter estimation for sparse targets in phased-MIMO radar

Parameter estimation using phased-multiple-input multiple-output (MIMO) radar is investigated in this study, where transmitting antennas are partitioned into subarrays to provide both waveform diversity and high coherent processing gain. By exploiting the target sparsity in the spatial domain, a com...

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Bibliographic Details
Main Authors:	Can Zhu, Ning Zhang, Zhimin Chen, Peng Chen
Format:	Article
Language:	English
Published:	Wiley 2019-06-01
Series:	The Journal of Engineering
Subjects:	antenna arrays phased array radar compressed sensing array signal processing MIMO radar transmitting antennas parameter estimation MIMO communication radar signal processing estimation performance sparse targets phased-MIMO radar phased-multiple-input multiple-output radar subarray waveform diversity high coherent processing gain target sparsity compressed sensing-based estimation method multiple targets efficient estimation noise figure 5.0 dB
Online Access:	https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0172

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