Sparse Linear Array Approach in Automotive Radars Using Matrix Completion

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The Problem:

The traditional approach of using uniform linear array are expensive. In order to reduce costs that are associated with grating lobe issues, researchers and industrial companies are using prediction and interpolation. However, these methods only work to a certain extent while the proposed algorithm can complete missing elements in more irregular and sparse arrays.

The Solution:

This technology is a high-resolution imaging radar approach that uses spares linear array synthesized with multiple input multiple output (MIMO) radar technology. The missing elements in the sparse linear array can be filled by completing a Hankel matrix using matrix completion. The invention can be applied to the design of high-resolution imaging radar for advanced driver assistance systems (ADAS) in cars.

Benefits:

• Cost effective process
• Removes ambiguity in angle funding
• Avoids off-grid issues
• Avoids loss of signal-to-noise in the array responses

VIEW PATENT INFORMATION HERE

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