Circuits, Systems, and Signal Processing

, Volume 36, Issue 1, pp 219–246 | Cite as

Sparsity-Based Direct Data Domain Space-Time Adaptive Processing with Intrinsic Clutter Motion

  • Zhaocheng YangEmail author
  • Yuliang Qin
  • Rodrigo C. de Lamare
  • Hongqiang Wang
  • Xiang Li


In this paper, we propose a sparsity-based direct data domain space-time adaptive processing (D3-STAP) algorithm for airborne radar that considers the intrinsic clutter motion (ICM). The proposed D3-STAP scheme models the received returns in the presence of ICM as a sparse measurement model. Then, we derive the principle of the sparsity-based D3-STAP that uses the focal underdetermined system solution (FOCUSS) method. The proposed D3-STAP algorithm estimates the clutter covariance matrix by a Hadamard product of the covariance matrix taper (CMT) and the clutter covariance matrix estimate with the FOCUSS technique. In addition, we develop a CMT adaptation approach for the proposed D3-STAP algorithm to automatically select the best CMT. Simulation results show that the proposed algorithm outperforms the existing D3-STAP using the least-squares technique and the sparsity-based D3-STAP algorithm without CMT.


Space-time adaptive processing Covariance matrix taper Intrinsic clutter motion Spatio-temporal sparsity  Direct data domain 



This work was funded in part by National Natural Science Foundation of China under Grant 61401478.


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Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  • Zhaocheng Yang
    • 1
    Email author
  • Yuliang Qin
    • 2
  • Rodrigo C. de Lamare
    • 3
  • Hongqiang Wang
    • 2
  • Xiang Li
    • 2
  1. 1.College of Information EngineeringShenzhen UniversityShenzhenChina
  2. 2.Research Institute of Space Electronics, Electronics Science and Engineering SchoolNational University of Defense TechnologyChangshaChina
  3. 3.Communications Research Group, Department of ElectronicsUniversity of YorkYorkUK

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