Optimal Disposition Of Multi-sensor Based On Genetic Algorithm

Station distribution of multi-sensor has an important influence on overallperformance of the electronic weapon system, the research on reasonable optimaldisposition of multi-sensor would help achieve the maximum performance ofmulti-sensor combination at the largest possible.For equipment qualification test, from performance testing of equipment andimprove the accuracy of the test data to daily tactical and confrontation training, need topre-study station distribution of multi-sensor. In-depth study on multi-sensor dispositionand optimization could not only effectively use and save test resources, improve testquality and efficiency but also has an extremely important significance to improve thecomprehensive ability of the military scientific research and experiments.In this thesis, modeled station distribution of various types of multi-sensor, basedon different backgrounds, different indicators of demand and different constraints, tookgenetic algorithm as a tool to optimize the objective function of each model, get theoptimized station distribution programs, made a good military effectiveness. The maincontents include:1. Detailed studied of the principles and processes of the genetic algorithm,improved genetic operators and tested algorithm performance.2. Detailed studied and established the relational model between stationdistribution and index of various types of multi-sensor included radar, track measuringinstrument, passive location sensor and pseudolite on application different backgrounds,took genetic algorithm as a tool to get the optimized station distribution programs,provided useful help for the practical application of electronic equipment test.3. Took practical training exercises task as background, studied and discussed thecomprehensive distribution optimization of radar and ground-based sensor, provide auseful reference and strong support for the task of decision-making and efficientcompletion.