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      Multidimensional Parameter Estimation Method Based on Sparse Iteration in FDA-MIMO Radar

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          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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          Author and article information

          Journal
          Journal of Radars
          Chinese Academy of Sciences
          01 April 2018
          : 7
          : 2
          : 194-201
          Affiliations
          [1 ] ①(School of Electrical and Electronic Engineering, Hubei University of Technology, Wuhan 430068, China)③(School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China)
          [2 ] ②(CETC Key Laboratory of Electromagnetic Domain Operation, No.29 Research Institute of CETC, Chengdu 610036, China)
          [3 ] ③(School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China)
          Article
          df5ad374dbd94d1484727c7bbf61d9c1
          10.12000/JR16121

          This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

          Categories
          Technology (General)
          T1-995

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