Volume 7 Issue 2
May  2018
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Article Navigation >  Journal of Radars  > 2018  >  7(2): 194-201
Gong Pengcheng, Liu Gang, Huang He, Wang Wenqin. Multidimensional Parameter Estimation Method Based on Sparse Iteration in FDA-MIMO Radar[J]. Journal of Radars, 2018, 7(2): 194-201. doi: 10.12000/JR16121
Citation: Gong Pengcheng, Liu Gang, Huang He, Wang Wenqin. Multidimensional Parameter Estimation Method Based on Sparse Iteration in FDA-MIMO Radar[J]. Journal of Radars, 2018, 7(2): 194-201. doi: 10.12000/JR16121
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Multidimensional Parameter Estimation Method Based on Sparse Iteration in FDA-MIMO Radar

doi: 10.12000/JR16121
  • 1.

    (School of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan 430068, China)

  • 2.

    (CETC Key Laboratory of Electromagnetic Domain Operation, No.29 Research Institute of CETC, Chengdu 610036, China)

  • 3.

    (School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China)

Funds:

The National Natural Science Foundation of China (61601178), China Postdoctoral Science Foundation (2016M600729), The Doctoral Starting up Foundation (BSQD14032)

  • Received Date: 2016-11-01
  • Rev Recd Date: 2016-11-28
  • Publish Date: 2018-04-28
    Abstract
  • To accurately identify the range of each target, traditional Multiple-Input Multiple-Output (MIMO) radar techniques not only require designing a shift matrix to describe different range bins but also a large number of snapshots.To alleviate this problem, a multidimensional parameter estimation method based on sparse iteration is proposed for a MIMO radar with Frequency Diverse Array (FDA).The FDA-MIMO radar uses small frequency increments across the array elements, and its transmit steering vector is a function of both range and angle.On the basis of the feature of the FDA-MIMO radar, we consider a weighted lq (0 q 1) minimization problem that is solved using a sparse iterative algorithm.Finally, the target parameters (the amplitude, range, and angle) are obtained using a single snapshot.Moreover, numerical simulations are used to demonstrate the superior performance of the proposed method compared with those of DAS, IAA, and IAA-R.

     

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