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Joint Range, Angle and Doppler Frequency Estimation in FDA-MIMO Radars via Atomic Norm Minimization

Bagheri Jazi, Mohammad Reza | 2023

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 56565 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Karbasi, Mohammad
  7. Abstract:
  8. In this thesis, we address the problem of joint Range, Angle and Doppler frequency estimation in FDA-MIMO radars. Target parameter estimation is among the most important areas of research in radar signal processing. In this field of research, there are numerous challenges to overcome, including low estimation accuracy, a scarcity of snapshots, and the high computational complexity of algorithms. For this reason, diverse methods have been developed to solve this problem. Each of these methods has its own features and capabilities, focusing on one or more of the existing challenges. The application of these methods also depends on various factors, including the signal structure, which is related to the radar structure itself. FDA-MIMO radars, have range-angle dependent beampattern. Thus, in addition to angle information, range information is embedded in the received signal and can be extracted. However, due to the entanglement of range and angle parameters, extracting information separately is not possible, and these parameters have to be jointly estimated. Various methods such as MUSIC and ESPRIT have been utilized to jointly estimate the range, angle, and Doppler frequency in this specific radar system. However, these methods have a direct relationship with the number of snapshots, while practical scenarios usually have a limited number of snapshots. In this regard, because the estimation accuracy of compressed sensing-based methods has less sensitivity to the number of snapshots, might be suitable options. On the other hand, compressed sensing-based methods, such as atomic norm minimization, have high computational complexity . In this thesis, a new method called 3D-DANM, which is based on atomic norm minimization, is presented. This method jointly estimates the range, angle, and Doppler frequency of targets with sufficient accuracy. This method has much lower computational complexity compared to the simple and conventional ANM (vectorized-ANM) approach. Simulation results clearly demonstrate the superiority of the proposed method over other ANM-based methods in terms of accuracy and speed.
  9. Keywords:
  10. Computational Complexity ; Three Dimensional Decoupled Atomic Norm Minimization (3D-DANM) ; Joint Range, Angle and Doppler Frequency Estimation ; Atomic Norm Minimization ; Multi-Input Multi-Output (MIMO)Radar

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