Search: onr:"swepub:oai:DiVA.org:liu-39865" >
Real-Time Space-Tim...
-
Wu, Di,1979-Linköpings universitet,Tekniska högskolan,Datorteknik
(author)
Real-Time Space-Time Adaptive Processing on the STI CELL Multiprocessor
- Article/chapterEnglish2007
Publisher, publication year, extent ...
-
IEEE,2007
-
printrdacarrier
Numbers
-
LIBRIS-ID:oai:DiVA.org:liu-39865
-
https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-39865URI
Supplementary language notes
-
Language:English
-
Summary in:English
Part of subdatabase
Classification
-
Subject category:ref swepub-contenttype
-
Subject category:kon swepub-publicationtype
Notes
-
Space-time adaptive processing (STAP) has been widely used in modern radar systems such as ground moving target indication (GMTI) systems in order to suppress jamming and interference. However, its baseband signal processing part usually requires huge amount of computing power. This paper presents the real-time implementation of an STAP baseband signal processing flow on the state-of-the-art STI CELL multiprocessor which enables the concept of software-defined radar (SDR). SIMD vectorization is applied to speed-up the kernel subroutines of STAP such as the QR decomposition, forward/backward substitution and fast Fourier transform (FFT). Benchmarking results of both the kernel subroutines and the overall flow are presented. Furthmore, based on the result of earlier benchmarking, optimized task partitioning and scheduling methods are proposed by us to improve the overall performance so that the overhead is reduced to the minimum.
Subject headings and genre
-
TECHNOLOGY
-
TEKNIKVETENSKAP
Added entries (persons, corporate bodies, meetings, titles ...)
-
Li, Yi-Hsien
(author)
-
Eilert, Johan,1980-Linköpings universitet,Tekniska högskolan,Datorteknik(Swepub:liu)johei10
(author)
-
Liu, Dake,1957-Linköpings universitet,Tekniska högskolan,Datorteknik(Swepub:liu)dakli74
(author)
-
Linköpings universitetTekniska högskolan
(creator_code:org_t)
Related titles
-
In:4th European Radar Conference,2007: IEEE, s. 71-749782874870040
Internet link
Find in a library
To the university's database