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Maximum Likelihood Algorithm for Time-Delay Based Multistatic Target Localization
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DOI：10.1109/LSP.2022.3158592.png)
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Abstract
En 中文
In this letter we address the problem of multistatic target localization using time-delay measurements corrupted by noise with unknown non-uniform variances. More concretely, we consider the problem of joint maximum likelihood (ML) estimation of the target position and the noise variances, for which we propose a majorization-minimization based algorithm. The proposed approach is compared with state-of-the-art algorithms, and the simulation results show the excellent accuracy of our algorithm.
Keywords:
Location awareness
Signal processing algorithms
Receivers
Noise measurement
Maximum likelihood estimation
Transmitters
Signal to noise ratio
Target localization
time-delay measurements
maximum-likelihood estimation
majorization-minimization
Journal
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9.6
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