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An adaptive iterative thresholding algorithm for distributed mimo radars

Abtahi, A ; Sharif University of Technology | 2019

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  1. Type of Document: Article
  2. DOI: 10.1109/TAES.2018.2852400
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2019
  4. Abstract:
  5. In this paper, a Block Iterative Method with Adaptive Thresholding for Sparse Recovery (BIMATSR) is proposed to recover the received signal in an under-sampled distributed multiple-input multiple-output radar. The BIMATSR scheme induces block sparsity with the aid of a signal-dependent thresholding operator which increases the accuracy of the target parameter estimation task. We have proved that under some sufficient conditions, the suggested scheme converges to a stable solution. Moreover, different simulation scenarios confirm that the BIMATSR algorithm outperforms its counterparts in terms of the target parameter estimation. This superiority is achieved at the expense of slightly more computational complexity. It is also shown that in this application, random sampling scheme offers better performance than random Gaussian matrix, while it has simpler structure
  6. Keywords:
  7. Compressive sensing (CS) ; Distributed MIMO radar ; Compressed sensing ; Iterative methods ; MIMO radar ; MIMO systems ; Radio transmission ; Radio transmitters ; Receivers (containers) ; Recovery ; Compressive sensing ; Distributed MIMO ; Random sampling ; Sparse matrices ; Sparse recovery ; Parameter estimation
  8. Source: IEEE Transactions on Aerospace and Electronic Systems ; Volume 55, Issue 2 , 2019 , Pages 523-533 ; 00189251 (ISSN)
  9. URL: https://ieeexplore.ieee.org/document/8411553