Design and implementation of MIMO radar real-time imaging system based on multicore DSP

• Published in: Journal of engineering (Stevenage, England) Vol. 2019; no. 19; pp. 5927 - 5931
• Main Authors: Mei, Hongyan, Tian, Weiming, Huo, Ruiguo, Wang, Jingyang
• Format: Journal Article
• Language: English
• Published: The Institution of Engineering and Technology 01.10.2019; Wiley
• Subjects: data acquisition; data acquisition speed; digital signal processing chips; echo data; floating-point DSP; ground-based SAR; IET International Radar Conference (IRC 2018); image processing; imaging algorithms; Matlab; MIMO imaging radar algorithm; MIMO radar; MIMO radar real-time imaging system; multichannel data; multicore DSP; multicore parallel processing; multiple-input multiple-output imaging radar; multiprocessing systems; parallel processing; radar imaging; real-time image processing software architecture; single-core digital signal processors; software architecture; task allocation; TI's keystone multicore architecture; image processing; multiprocessing systems; multicore parallel processing; single-core digital signal processors; MIMO radar real-time imaging system; multicore DSP; multiple-input multiple-output imaging radar; data acquisition speed; MIMO imaging radar algorithm; parallel processing; ground-based SAR; software architecture; task allocation; MIMO radar; multichannel data; TI's keystone multicore architecture; radar imaging; floating-point DSP; data acquisition; imaging algorithms; real-time image processing software architecture; echo data; digital signal processing chips; Matlab
• ISSN: 2051-3305; 2051-3305
• DOI: 10.1049/joe.2019.0332

Multiple-input multiple-output (MIMO) imaging radar is a new kind of new imaging radar in recent years. It can achieve faster data acquisition speed than the traditional ground-based SAR due to the ability to get a large number of multi-channel data in a short period of time. However, traditional single-core digital signal processors (DSPs) have limited space and ability to deal with such large amount of data. To solve this problem, a real-time image processing software architecture for MIMO imaging radar algorithm is designed and carried out based on TMS320C6678 DSP of Texas Instruments (TI), which is the highest-performance fixed/floating-point DSP based on TI's KeyStone multicore architecture. The efficient imaging algorithms mapping from Matlab to DSP is realised, with efficient task allocation, resource reuse of echo data, and processing variable, and using the method of multicore parallel processing.