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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https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0172

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