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Efficient Joint Localization and Synchronization in Distributed MIMO Radars
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DOI：10.1109/LSP.2020.3007033.png)
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摘要
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This letter addresses the problem of joint localization and clock synchronization in distributed multiple-input multiple-output (MIMO) radar systems. While the well-known two-stage weighted least squares (WLS) method provides an acceptable estimate of target position when a rough approximation of antennas clock parameters, the drifts and offsets, is available, its performance can degrade quickly if the level of uncertainty in these values increases. The proposed method offers a solution for synchronizing the clocks while simultaneously improving the target position estimate. The uncertainty in positions of antennas is also taken into account. The presented method is shown to be approximately unbiased and able to attain the Cramer-Rao lower bound (CRLB) under small Gaussian error assumption. Numerical simulations are employed to validate the theoretical findings.
Keyword:
Target localization
synchronization
multiple-input multiple-output (MIMO) radar
time delay measurement
cramer-rao lower bound (CRLB)
weighted least squares (WLS) estimation
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9.6
论文数:
1.1W
被引数:
1.7W
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Weighted least squares algorithm for target localization in distributed MIMO radar.png)
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