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This paper proposes two high-resolution Direction-of-Arrival (DOA) estimators using coprime sensor arrays (CSA) processing broadband signals. The product processor estimates the broadband spatial power spectral density (PSD) by averaging narrowband spatial PSD estimates. These narrowband PSD estimates are formed by multiplying one CSA subarray scanned response with the complex conjugate of the other...
This paper proposes a super-resolution direction-of-arrival (DOA) estimator using coprime sensor arrays (CSAs) with the min processor. The min processor resolves the CSA subarrays' spatial aliasing while achieving lower sidelobes than the product processor and maintaining a positive semi-definite spatial power spectral density (PSD) estimation. The spatial correlation function implied by the CSAmin...
In wireless sensor networks (WSNs), since many basic scientific works heavily rely on the complete sensory data, data recovery is an indispensable operation against the data loss. Several works have studied the missing value problem. However, existing solutions cannot achieve satisfactory accuracy due to special loss patterns and high loss rates in WSNs. In this work, we propose a multiple attributes-based...
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