Accession Number : ADA256209


Title :   Radar Data Processing Using a Distributed Computational System


Descriptive Note : Doctoral thesis Jul 1990-Jun 1992


Corporate Author : NAVAL POSTGRADUATE SCHOOL MONTEREY CA


Personal Author(s) : Mota, Gilberto F


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a256209.pdf


Report Date : Jun 1992


Pagination or Media Count : 227


Abstract : This research specifies and validates a new concurrent decomposition scheme, called Confined Space Search Decomposition (CSSD), to exploit parallelism of Radar Data Processing algorithms using a Distributed Computational System. To formalize the specification we propose and apply an object-oriented methodology called Decomposition Cost Evaluation Model (DCEM). To reduce the penalties of load imbalance we propose a distributed dynamic load balance heuristic called Object Reincarnation (OR). To validate the research we first compare our decomposition with an identified alternative using the proposed DCEM model and then develop a theoretical prediction of selected parameters. We also develop a simulation to check the Object Reincarnation Concept.


Descriptors :   *DATA PROCESSING , *DISTRIBUTED DATA PROCESSING , *RADAR TARGETS , *RADAR OPERATORS , ALGORITHMS , SIMULATION , MODELS , DYNAMICS , PROCESSING , KALMAN FILTERING , THESES , DECOMPOSITION , STATICS , DYNAMIC LOADS , HEURISTIC METHODS , BALANCE , SCHEDULING , COSTS , TARGETS , RADAR , RADAR CORRELATION , PENALTIES , TRACKING , MULTIPLE TARGETS , PARAMETERS , SPECIFICATIONS , PREDICTIONS , METHODOLOGY , COMPUTATIONS


Subject Categories : Active & Passive Radar Detection & Equipment


Distribution Statement : APPROVED FOR PUBLIC RELEASE