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Guaranteed Stability of Sparse Recovery in Distributed Compressive Sensing MIMO Radar

Tao, Yu ; Zhang, Gong ; Zhang, Jindong Pastorino, Matteo

International journal of antennas and propagation, 2015-01, Vol.2015, p.1-10 [Periódico revisado por pares]

New York: Hindawi Publishing Corporation

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  • Título:
    Guaranteed Stability of Sparse Recovery in Distributed Compressive Sensing MIMO Radar
  • Autor: Tao, Yu ; Zhang, Gong ; Zhang, Jindong
  • Pastorino, Matteo
  • Assuntos: Algorithms ; Antennas ; Coherence ; Computer simulation ; Detection ; Education ; Mathematical models ; Radar ; Radar systems ; Recovery ; Sparsity ; Stability ; Transmitters
  • É parte de: International journal of antennas and propagation, 2015-01, Vol.2015, p.1-10
  • Notas: ObjectType-Article-1
    SourceType-Scholarly Journals-1
    ObjectType-Feature-2
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  • Descrição: Low SNR condition has been a big challenge in the face of distributed compressive sensing MIMO radar (DCS-MIMO radar) and noise in measurements would decrease performance of radar system. In this paper, we first devise the scheme of DCS-MIMO radar including the joint sparse basis and the joint measurement matrix. Joint orthogonal matching pursuit (JOMP) algorithm is proposed to recover sparse targets scene. We then derive a recovery stability guarantee by employing the average coherence of the sensing matrix, further reducing the least amount of measurements which are necessary for stable recovery of the sparse scene in the presence of noise. Numerical results show that this scheme of DCS-MIMO radar could estimate targets’ parameters accurately and demonstrate that the proposed stability guarantee could further reduce the amount of data to be transferred and processed. We also show the phase transitions diagram of the DCS-MIMO radar system in simulations, pointing out the problem to be further solved in our future work.
  • Editor: New York: Hindawi Publishing Corporation
  • Idioma: Inglês
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  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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