MIMO Radar Array Structure Optimization System Based on Space-Time Autoregressive Algorithm

• Published in: 2022 IEEE 4th International Conference on Civil Aviation Safety and Information Technology (ICCASIT) pp. 1217 - 1220
• Main Authors: Meng, Qingqin, Xu, Haiqi, Zhang, Yi, Han, Naiyu
• Format: Conference Proceeding
• Language: English
• Published: IEEE 12.10.2022
• Subjects: Array Beam; Array Structure; Interference; MIMO radar; Phased arrays; Radar detection; Redundancy; Space-Time Autoregressive Algorithm; Spaceborne radar; Transceivers
• DOI: 10.1109/ICCASIT55263.2022.9986684

A MIMO radar can separate the transmission paths to the receiver and then increase the number of transmission paths. In MIMO radar, the added path channels are similar to virtual array elements. The optimization of the arrangement position of the virtual array elements enables the MIMO radar to obtain optimized beam performance. The difference between MIMO radar array structure optimization and traditional phased array radar array structure optimization is that MIMO radar needs to optimize the virtual array beam by optimizing the location of the actual transceiver array. For a uniform line array with co-located transceivers, the virtual array elements will generate a lot of redundancy, and through the non-uniform arrangement of the actual array elements, the virtual array element aperture is expanded and the redundancy will be greatly reduced. Aiming at the optimization problem of MIMO radar array structure, this paper studies the optimization method of MIMO radar array structure by space-time autoregressive algorithm with the lowest cost function of virtual array beam ratio. In this paper, the simulation experiment of algorithm optimization proves that when there is interference, the algorithm optimization can improve the primary and secondary ratio of the array beam, and it also shows that the algorithm has good performance.