# An Efficient Dynamic Engineering Implementation Architecture for MIMO Radar System
## 3 Efficient Dynamic Engineering Implementation Architecture for MIMO Radar Systems
### Engineering Implementation Process
#### 3.2.3 Antenna Data Reordering and Retrieval  
As discussed in Section 3.2.2, the data output from the data frame storage management module in State II are typically organized according to the sequence of the transmitting antennas. However, in MIMO radar systems, the precision of angle estimation algorithms critically depends on the exact positioning and the relative configuration of the receiving  
Figure 5: Efficient dynamic data frame storage management.  
antennas. This precise arrangement is essential for accurately determining the angles of arrival of incoming signals. If the data are not structured in alignment with the configuration of the receiving antennas, it may result in significant inaccuracies in angle estimation, consequently impairing the overall performance and accuracy of the radar system. Therefore, despite the initial organization of the data according to the sequence of the transmitting antennas, it is imperative to reorganize the data's suitably to fulfill the specific requirements of the angle estimation algorithms. This reorganization ensures that the radar system operates with optimal accuracy and efficiency. The reordering and retrieval module is tasked with transforming the data from the transmission sequence to the physical arrangement sequence and eliminating duplicate data channels, which may arise due to redundancy in the array design or may be intentionally introduced to enhance signal strength. By reducing the volume of data that require processing in subsequent steps, this module helps to prevent the inclusion of unnecessary, redundant information in the angle estimation process.  
The operational principle of the antenna data reordering and retrieval module is depicted in Figure 6. The inputs to this module consist of data from all virtual antenna channels that have undergone velocity-selective filtering, with the antenna array parameters serving as the critical configuration information for this module.  
As illustrated in Figure 6, the core implementation of the antenna data reordering and retrieval module is outlined as follows:  
**Step 1:** Firstly, all virtual antenna channel data are stored in the antenna data set random-access memory (RAM). It is important to note that the virtual antenna reception data are arranged sequentially according to the transmission order of the transmitting antennas and are not aligned with the actual physical arrangement of the antennas. Consequently, these data cannot be directly utilized in the angle estimation algorithm.  
**Step 2:** Next, the read data address is calculated based on the antenna array layout information. Specific virtual antenna target point data for angle estimation are then selectively retrieved from the antenna data set RAM in a jumpwise manner to form the target antenna data vector. This target antenna data vector is reorganized to fulfill the data requirements of the angle estimation algorithm.  
The target antenna data vector is systematically reordered to comply with the data specifications necessary for the angle estimation algorithm. Given that various radar systems may employ distinct antenna array configurations, the requisite data processing for alternative antenna arrays can be achieved by simply reconfiguring the antenna array information parameters stored in the antenna array parameter storage memory. By dynamically  
Figure 6: Antenna data reordering and retrieval.  
selecting and processing pertinent channels, the system is engineered to automatically adjust to diverse array structures and configurations, enhancing its adaptability and efficiency in different operational contexts.