Design and implementation of MIMO radar real‐time imaging system based on multicore DSP. Issue 19 (10th July 2019)

• Record Type: Journal Article
• Authors: Mei, Hongyan; Tian, Weiming; Huo, Ruiguo; Wang, Jingyang
• Is Part Of: Journal of engineering. Volume 2019:Issue 19(2019)
• Page Start: 5927
• Page End: 5931
• Publication Date: 2019-07-10
• Subjects: digital signal processing chips -- parallel processing -- multiprocessing systems -- software architecture -- image processing -- radar imaging -- MIMO radar -- data acquisition -- Matlab; multichannel data -- real‐time image processing software architecture -- MIMO imaging radar algorithm -- echo data -- multicore parallel processing -- MIMO radar real‐time imaging system -- multicore DSP -- multiple‐input multiple‐output imaging radar -- floating‐point DSP -- imaging algorithms -- data acquisition speed -- ground‐based SAR -- TI's keystone multicore architecture -- single‐core digital signal processors -- task allocation -- Matlab; Engineering -- Periodicals; Engineering; Electronic journals; Periodicals; 620.005
• DOI: 10.1049/joe.2019.0332
• Languages: English
• ISSNs: 2051-3305

Abstract

Abstract : 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.