共 4 条
- [1] Dang D., 2014, REAL TIME IMAGING PR
- [2] Texas Instruments, 2012, MULT PROGR GUID
- [3] Texas Instruments Inc, 2014, MULT FIX FLOAT POINT
- [4] Wang H., 2010, IMAGING ALGORITHM RE
Design and implementation of MIMO radar real-time imaging system based on multicore DSP
被引：1
作者：
Mei, Hongyan
[1
,2
]
Tian, Weiming
[1
,2
]
Huo, Ruiguo
[1
,2
]
Wang, Jingyang
[1
,2
]
机构：
[1] Beijing Inst Technol, Sch Informat & Elect, Radar Res Lab, Beijing, Peoples R China
[2] Beijing Inst Technol, Minist Educ, Key Lab Elect & Informat Technol Satellite Nav, Beijing 100081, Peoples R China
来源：
JOURNAL OF ENGINEERING-JOE
|
2019年
/
2019卷
/
19期
基金：
中国国家自然科学基金;
关键词：
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;
D O I：
10.1049/joe.2019.0332
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
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.
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收藏
页码：5927 / 5931
页数：5
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