Volume 12 Issue 3
Jun.  2023
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Article Navigation >  Journal of Radars  > 2023  >  12(3): 576-589
QI Cheng, XIE Junwei, ZHANG Haowei, et al. Element configuration optimization of hybrid distributed PA-MIMO radar system based on target detection[J]. Journal of Radars, 2023, 12(3): 576–589. doi: 10.12000/JR22159
Citation: QI Cheng, XIE Junwei, ZHANG Haowei, et al. Element configuration optimization of hybrid distributed PA-MIMO radar system based on target detection[J]. Journal of Radars, 2023, 12(3): 576–589. doi: 10.12000/JR22159
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Element Configuration Optimization of Hybrid Distributed PA-MIMO Radar System Based on Target Detection

doi: 10.12000/JR22159

  • Air and Missile Defense College, Aire Force Engineering University, Xi’an 710051, China

Funds:  The National Natural Science Foundation of China (62001506)
More Information
  • Corresponding author: QI Cheng, qc_afeu@163.com; ZHANG Haowei, zhw_xhzf@163.com
  • Received Date: 2022-07-22
  • Rev Recd Date: 2022-09-04
    • Available Online: 2022-09-06
  • Publish Date: 2022-09-14
    Abstract
  • This paper establishes a hybrid distributed Phased-Array Multiple-Input Multiple-Output (PA-MIMO) radar system model, which combines coherent processing gain and spatial diversity gain to synergistically improve the target detection performance. We derive a Likelihood Ratio Test (LRT) detector based on the Neyman-Pearson (NP) criterion for the hybrid distributed PA-MIMO radar system. The coherent processing gain and spatial diversity gain are jointly optimized by implementing subarray-level and array element–level optimal configurations at the transceiver and transmitter ends. Moreover, a Quantum Particle Swarm Optimization-based Stochastic Rounding (SR-QPSO) algorithm is proposed for the integer programming-based configuration model. This algorithm ensures that the optimal array-element configuration strategy is obtained with less iteration and achieves the joint optimization of subarray and array-element levels. Finally, simulations verify that the proposed optimal configuration offers substantial improvements compared to other typical radar systems, with a detection probability of 0.98 and an effective range of 1166.3 km, as well as a considerably improved detection performance.

     

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