Measurement Matrix Design for Compressive Sensing–Based MIMO Radar

  title={Measurement Matrix Design for Compressive Sensing–Based MIMO Radar},
  author={Yao Yu and Athina P. Petropulu and H. Vincent Poor},
  journal={IEEE Transactions on Signal Processing},
In colocated multiple-input multiple-output (MIMO) radar using compressive sensing (CS), a receive node compresses its received signal via a linear transformation, referred to as a measurement matrix. The samples are subsequently forwarded to a fusion center, where an l1-optimization problem is formulated and solved for target information. CS-based MIMO radar exploits target sparsity in the angle-Doppler-range space and thus achieves the high localization performance of traditional MIMO radar… CONTINUE READING
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