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Volume 43 Issue 12
Dec.  2021
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Donghe LIU, Yongbo ZHAO, Xiaojiao PANG, Chenghu CAO, Sheng CHEN. DOA Estimation Algorithm Based on Reduced-dimensional Beamspace with Real-valued ESPRIT for Monostatic MIMO Radar[J]. Journal of Electronics & Information Technology, 2021, 43(12): 3639-3646. doi: 10.11999/JEIT200485
Citation: Donghe LIU, Yongbo ZHAO, Xiaojiao PANG, Chenghu CAO, Sheng CHEN. DOA Estimation Algorithm Based on Reduced-dimensional Beamspace with Real-valued ESPRIT for Monostatic MIMO Radar[J]. Journal of Electronics & Information Technology, 2021, 43(12): 3639-3646. doi: 10.11999/JEIT200485

DOA Estimation Algorithm Based on Reduced-dimensional Beamspace with Real-valued ESPRIT for Monostatic MIMO Radar

doi: 10.11999/JEIT200485
Funds:  The Fund for Foreign Scholars in University Research and Teaching Programs(B18039)
  • Received Date: 2020-06-15
  • Rev Recd Date: 2021-04-02
  • Available Online: 2021-05-06
  • Publish Date: 2021-12-21
  • The Direction Of Arrival (DOA) estimation is a hot topic for a monostatic Multiple Input Multiple Output (MIMO) radar in recent years. The conventional Estimation of Signal Parameters via Rotational Invariance Technique (ESPRIT) algorithms need to pay much computation cost because of the high-dimensional MIMO radar data. When the Signal-to-Noise Ratio (SNR) is low and the number of sample are small, the performance of the conventional ESPRIT algorithms degrades seriously. To overcome the disadvantages of conventional ESPRIT algorithms, a novel algorithm which is called as reduced-dimensional beamspace with real-valued ESPRIT for monostatic MIMO radar is proposed. To eliminate the redundancy, the high-dimensional MIMO radar data is transformed into the low-dimensional data through the transformation matrix. To reduce further the computation complexity, the low-dimensional data is transformed into beamspace. Then the real-valued rotation invariance equation is constructed to estimate the target’s DOA. Simulation results show the proposed algorithm has better angle estimation performance and less computation burden than traditional ESPRIT algorithms.
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