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Energy allocation for parameter estimation in block CS-based distributed MIMO systems

Abtahi, A ; Sharif University of Technology | 2015

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  1. Type of Document: Article
  2. DOI: 10.1109/SAMPTA.2015.7148946
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2015
  4. Abstract:
  5. Exploiting Compressive Sensing (CS) in MIMO radars, we can remove the need of the high rate A/D converters and send much less samples to the fusion center. In distributed MIMO radars, the received signal can be modeled as a block sparse signal in a basis. Thus, block CS methods can be used instead of classical CS ones to achieve more accurate target parameter estimation. In this paper a new method of energy allocation to the transmitters is proposed to improve the performance of the block CS-based distributed MIMO radars. This method is based on the minimization of an upper bound of the sensing matrix block-coherence. Simulation results show a significant increase in the accuracy of multiple targets parameter estimation
  6. Keywords:
  7. Analog to digital conversion ; MIMO radar ; MIMO systems ; Radar ; A/D converter ; Block-sparse signals ; Compressive sensing ; Distributed MIMO ; Energy allocations ; Multiple targets ; Received signals ; Target parameter estimations ; Parameter estimation
  8. Source: 2015 International Conference on Sampling Theory and Applications, SampTA 2015, 25 May 2015 through 29 May 2015 ; May , 2015 , Pages 523-527 ; 9781467373531 (ISBN)
  9. URL: http://ieeexplore.ieee.org/document/7148946/?reload=true