PMID- 30599577
OWN - NLM
STAT- PubMed-not-MEDLINE
DCOM- 20190115
LR  - 20190115
IS  - 1089-7623 (Electronic)
IS  - 0034-6748 (Linking)
VI  - 89
IP  - 12
DP  - 2018 Dec
TI  - Edge computing for space applications: Field programmable gate array-based 
      implementation of multiscale probability distribution functions.
PG  - 125005
LID - 10.1063/1.5044425 [doi]
AB  - Data processing is a challenging problem in space applications. The limited 
      bandwidth available for communication between satellites and the ground and the 
      increasing resolution of scientific instruments make it virtually impossible to 
      transfer all the data recorded on board. Although various mitigation strategies 
      were developed, large amounts of on-board data are still lost. This paper 
      presents a Field Programmable Gate Array (FPGA)-based architecture which is able 
      to perform on-board nonlinear analysis of data and compute probability 
      distribution functions of fluctuations. We propose two implementations for our 
      solution, which can be used for space applications and also other computational 
      contexts. On a spacecraft, the logic resources of the FPGA will typically be 
      shared by several designs running various digital signal processing algorithms. 
      That is why each algorithm should be designed in variants, optimized for 
      different criteria, so that the entire group of algorithms makes an efficient 
      usage of the FPGA resources. The proposed solution focuses on two major 
      optimization criteria, area and speed, such that the FPGA resources are 
      efficiently used. Also, the power consumption is at least two orders of magnitude 
      less in comparison with classical software implementations. The solution was 
      tested with both synthetic and real data and shows excellent results paving the 
      way towards an application that can be ported on a space-grade FPGA.
FAU - Deak, Norbert
AU  - Deak N
AD  - Computer Science Department, Technical University of Cluj-Napoca, Cluj-Napoca, 
      Romania.
FAU - Cret, Octavian
AU  - Cret O
AUID- ORCID: 000000026657634X
AD  - Computer Science Department, Technical University of Cluj-Napoca, Cluj-Napoca, 
      Romania.
FAU - Echim, Marius
AU  - Echim M
AUID- ORCID: 0000000170389494
AD  - Institute of Space Science, Magurele, Romania.
FAU - Teodorescu, Eliza
AU  - Teodorescu E
AD  - Institute of Space Science, Magurele, Romania.
FAU - Negrea, Catalin
AU  - Negrea C
AD  - Institute of Space Science, Magurele, Romania.
FAU - Vacariu, Lucia
AU  - Vacariu L
AUID- ORCID: 0000000171982396
AD  - Computer Science Department, Technical University of Cluj-Napoca, Cluj-Napoca, 
      Romania.
FAU - Munteanu, Costel
AU  - Munteanu C
AD  - Institute of Space Science, Magurele, Romania.
FAU - Hangan, Anca
AU  - Hangan A
AD  - Computer Science Department, Technical University of Cluj-Napoca, Cluj-Napoca, 
      Romania.
LA  - eng
PT  - Journal Article
PL  - United States
TA  - Rev Sci Instrum
JT  - The Review of scientific instruments
JID - 0405571
EDAT- 2019/01/03 06:00
MHDA- 2019/01/03 06:01
CRDT- 2019/01/03 06:00
PHST- 2019/01/03 06:00 [entrez]
PHST- 2019/01/03 06:00 [pubmed]
PHST- 2019/01/03 06:01 [medline]
AID - 10.1063/1.5044425 [doi]
PST - ppublish
SO  - Rev Sci Instrum. 2018 Dec;89(12):125005. doi: 10.1063/1.5044425.