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• W4385300691 abstract "This paper addresses the detection and estimation problems of a distributed multiple-input and multiple-output (MIMO) radar system with synchronization errors. In such cases, the outputs of all waveform-specific matched filters contain errors in the resulting time delay estimates, which will cause biases in the corresponding estimation of the active range cells. To overcome the impact resulting from the presence of such errors, a joint robust detection and estimation framework is introduced. We first propose an extended generalized likelihood ratio test (GLRT) detector exhibiting the constant false alarm rate property to robustly detect multi-channel misaligned data by extending the matching range cells among multiple channels, on which a Radon-Fourier transform is employed to coherently accumulate the response of potentially moving targets. Then, a clustering algorithm is employed to obtain the unique time delays and Doppler shifts for each channel from the redundant results generated by the detector. Finally, we estimate the target locations and their velocities using the estimated multi-channel time delays and Doppler shifts using a weighted least squares formulation, which is reformulated as a convex optimization problem in order to allow for an efficient solution. Both Numerical and experimental results demonstrate the performance and the robustness of the proposed framework as compared to other recent approaches." @default.
• W4385300691 created "2023-07-28" @default.
• W4385300691 creator A5013953750 @default.
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• W4385300691 date "2023-01-01" @default.
• W4385300691 modified "2023-10-09" @default.
• W4385300691 title "Moving Target Detection Using a Distributed MIMO Radar System With Synchronization Errors" @default.
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• W4385300691 doi "https://doi.org/10.1109/tgrs.2023.3299233" @default.
• W4385300691 hasPublicationYear "2023" @default.
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