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Deployment of SAR and GMTI Signal Processing on a Boeing 707 Aircraft Using pMatlab and a Bladed Linux Cluster.

ADA433396

Publication Date	2004
Personal Author	Kepner, J.; Currie, T.; Kim, H.; McCabe, A.; Mathew, B.
Page Count	30
Abstract	The Lincoln Multifunction Intelligence, Surveillance and Reconnaissance Testbed (LiMIT) is an airborne research laboratory for development, testing, and evaluation of sensors and processing algorithms. During flight tests it is desirable to process the sensor data to validate the sensors and to provide targets and images for use in other on-board applications. Matlab is used for this processing because of the rapidly changing nature of the algorithms, but requires hours to process the required data on a single workstation. The pMatlab and MatlabMPI libraries allow these algorithms to be parallelized quickly without porting the code to a new language. The availability of inexpensive bladed Linux clusters provides the necessary parallel hardware in a reasonable form factor. We have integrated pMatlab and a 28 processor IBM Blade system to implement Ground Moving Target Indicator (GMTI) processing and Synthetic Aperture Radar (SAR) processing on board the LiMIT Boeing 707 aircraft. GMTI processing uses a simple round robin approach and is able to achieve a speedup of 18x. SAR processing uses a more complex data parallel approach, which involves multiple 'corner turns' and is able to achieve a speedup of 12x. In each case, the required detections and images are produced in under five minutes (as opposed to one hour), which is sufficient for in-flight action to be taken.
Keywords	Signal processing Test beds Parallel processing Synthetic aperture radar Moving target indicators Flying laboratories Algorithms Flight testing Symposia Detectors Commercial aircraft Research facilities Mathematical programming Operating systems(Computers) Briefing charts Gmti(Ground moving target indicators) Boeing 707 aircraft Pmatlab(Parallel matlab) Linux clusters Limit(Lincoln multifunction intelligence-surveillance- reconnaissance
Source Agency	Non Paid ADAS
Corporate Authors	Massachusetts Inst. of Tech., Lexington. Lincoln Lab.
Supplemental Notes	See also ADM001742, Proceedings of the Annual High Performance Embedded Computing (HPEC) Workshop (8th), Vol 1, held in Lexington, MA on 28-30 Sep 2004. Sponsored in part by Defense Advanced Research Projects Agency (DARPA). The original document contains color images.
Document Type	Technical Report
Title Note	Briefing charts.
NTIS Issue Number	200519
Contract Number	F19628-00-C-0002

Deployment of SAR and GMTI Signal Processing on a Boeing 707 Aircraft Using pMatlab and a Bladed Linux Cluster.

Deployment of SAR and GMTI Signal Processing on a Boeing 707 Aircraft Using pMatlab and a Bladed Linux Cluster.
ADA433396

Publication Date	2004
Personal Author	Kepner, J.; Currie, T.; Kim, H.; McCabe, A.; Mathew, B.
Page Count	30
Abstract	The Lincoln Multifunction Intelligence, Surveillance and Reconnaissance Testbed (LiMIT) is an airborne research laboratory for development, testing, and evaluation of sensors and processing algorithms. During flight tests it is desirable to process the sensor data to validate the sensors and to provide targets and images for use in other on-board applications. Matlab is used for this processing because of the rapidly changing nature of the algorithms, but requires hours to process the required data on a single workstation. The pMatlab and MatlabMPI libraries allow these algorithms to be parallelized quickly without porting the code to a new language. The availability of inexpensive bladed Linux clusters provides the necessary parallel hardware in a reasonable form factor. We have integrated pMatlab and a 28 processor IBM Blade system to implement Ground Moving Target Indicator (GMTI) processing and Synthetic Aperture Radar (SAR) processing on board the LiMIT Boeing 707 aircraft. GMTI processing uses a simple round robin approach and is able to achieve a speedup of 18x. SAR processing uses a more complex data parallel approach, which involves multiple 'corner turns' and is able to achieve a speedup of 12x. In each case, the required detections and images are produced in under five minutes (as opposed to one hour), which is sufficient for in-flight action to be taken.
Keywords	Signal processing Test beds Parallel processing Synthetic aperture radar Moving target indicators Flying laboratories Algorithms Flight testing Symposia Detectors Commercial aircraft Research facilities Mathematical programming Operating systems(Computers) Briefing charts Gmti(Ground moving target indicators) Boeing 707 aircraft Pmatlab(Parallel matlab) Linux clusters Limit(Lincoln multifunction intelligence-surveillance- reconnaissance
Source Agency	Non Paid ADAS
Corporate Authors	Massachusetts Inst. of Tech., Lexington. Lincoln Lab.
Supplemental Notes	See also ADM001742, Proceedings of the Annual High Performance Embedded Computing (HPEC) Workshop (8th), Vol 1, held in Lexington, MA on 28-30 Sep 2004. Sponsored in part by Defense Advanced Research Projects Agency (DARPA). The original document contains color images.
Document Type	Technical Report
Title Note	Briefing charts.
NTIS Issue Number	200519
Contract Number	F19628-00-C-0002