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A joint scheme of antenna placement and power allocation in a compressive-sensing-based colocated MIMO radar

Ajorloo, A ; Sharif University of Technology | 2022

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  1. Type of Document: Article
  2. DOI: 10.1109/LSENS.2022.3207725
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2022
  4. Abstract:
  5. The spatial sparsity of targets in the radar scene is widely used in multiple-input multiple-output (MIMO) radar signal processing, either to improve the detection/estimation performance of the radar or to reduce the cost of the conventional MIMO radars (e.g., by reducing the number of antennas). While sparse target estimation is the main challenge in such an approach, here, we address the design of a compressive-sensing-based MIMO radar, which facilitates such estimations. In particular, we propose an efficient solution for the problem of joint power allocation and antenna placement based on minimizing the number of transmit antennas while constraining the coherence of the sensing matrix. Numerical results confirm the superiority of the proposed method over the existing ones. © 2017 IEEE
  6. Keywords:
  7. Antenna placement ; Colocated multiple-input multiple-output (MIMO) radar ; Compressive sensing (CS) ; Power allocation ; Sensor applications ; Sensor signal processing ; Codes (symbols) ; Energy efficiency ; Feedback control ; MIMO radar ; MIMO systems ; Numerical methods ; Radar antennas ; Radar signal processing ; Telecommunication repeaters ; Tracking radar ; Antenna placement ; Co-located ; Colocated multiple-input multiple-output radar ; Compressive sensing ; Multiple-input multiple-output radars ; Power allocations ; Sensor applications ; Sensor signal processing ; Sensor signals ; Signal-processing ; Compressed sensing
  8. Source: IEEE Sensors Letters ; Volume 6, Issue 10 , 2022 ; 24751472 (ISSN)
  9. URL: https://ieeexplore.ieee.org/document/9895305