An Efficient Dynamic Engineering Implementation Architecture for MIMO Radar System

Abstract

Multiple-input multiple-output (MIMO) technology can significantly improve radar system resolution and target detection ability and become the core technology in millimeter-wave radar systems. Each antenna of a MIMO radar system generates a separate data stream, resulting in an exponential increase in the amount of data. The MIMO radar system needs to process these data efficiently and quickly to ensure the real-time performance of the system. Conventional MIMO radar engineering systems have difficulty meeting the efficient processing requirements for large data volume processing, and an efficient dynamic engineering implementation architecture for a MIMO radar system is necessary. In such cases, we analyze the MIMO radar engineering system principle and propose an efficient dynamic MIMO radar engineering implementation architecture, which reduces the data storage step after the Doppler fast Fourier transform (FFT) and improves the storage efficiency and processing speed. In addition, we validate the effectiveness of the method by implementing it on a field-programmable gate array (FPGA) platform. The results show that the method is better than the conventional MIMO radar engineering implementation architecture regarding storage resource consumption and processing speed. Specifically, for the same antenna channel data volume, the MIMO radar system with the proposed architecture achieves a 50% reduction in storage resource consumption and a 15% improvement in processing speed compared to the conventional architecture. The proposed architecture demonstrates better antenna array compatibility across different antenna arrays. This work provides new ideas and methods for the efficient engineering implementation of MIMO radar systems. This work can support the practical application of MIMO radar, especially the engineering applications of large-scale array MIMO radar systems.