Sensors, measurement fusion and missile trajectory optimisation
| dc.contributor.advisor | White, Prof B A | en_UK |
| dc.contributor.author | Moody, Leigh | en_UK |
| dc.date.accessioned | 2005-11-23T10:48:22Z | |
| dc.date.available | 2005-11-23T10:48:22Z | |
| dc.date.issued | 2003-07 | en_UK |
| dc.description.abstract | When considering advances in “smart” weapons it is clear that air-launched systems have adopted an integrated approach to meet rigorous requirements, whereas air-defence systems have not. The demands on sensors, state observation, missile guidance, and simulation for air-defence is the subject of this research. Historical reviews for each topic, justification of favoured techniques and algorithms are provided, using a nomenclature developed to unify these disciplines. Sensors selected for their enduring impact on future systems are described and simulation models provided. Complex internal systems are reduced to simpler models capable of replicating dominant features, particularly those that adversely effect state observers. Of the state observer architectures considered, a distributed system comprising ground based target and own-missile tracking, data up-link, and on-board missile measurement and track fusion is the natural choice for air-defence. An IMM is used to process radar measurements, combining the estimates from filters with different target dynamics. The remote missile state observer combines up-linked target tracks and missile plots with IMU and seeker data to provide optimal guidance information. The performance of traditional PN and CLOS missile guidance is the basis against which on-line trajectory optimisation is judged. Enhanced guidance laws are presented that demand more from the state observers, stressing the importance of time-to-go and transport delays in strap-down systems employing staring array technology. Algorithms for solving the guidance twopoint boundary value problems created from the missile state observer output using gradient projection in function space are presented. A simulation integrating these aspects was developed whose infrastructure, capable of supporting any dynamical model, is described in the air-defence context. MBDA have extended this work creating the Aircraft and Missile Integration Simulation (AMIS) for integrating different launchers and missiles. The maturity of the AMIS makes it a tool for developing pre-launch algorithms for modern air-launched missiles from modern military aircraft. | en_UK |
| dc.format.extent | 1883 bytes | |
| dc.format.extent | 3345091 bytes | |
| dc.format.mimetype | text/plain | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.uri | http://hdl.handle.net/1826/778 | |
| dc.language.iso | en_UK | en_UK |
| dc.publisher | Cranfield University; College of Defence Technology; Department of Aerospace, Power and Sensors | en_UK |
| dc.subject.other | Target modelling | en_UK |
| dc.subject.other | Sensor modelling | en_UK |
| dc.subject.other | Missile guidance | en_UK |
| dc.subject.other | Target tracking | en_UK |
| dc.title | Sensors, measurement fusion and missile trajectory optimisation | en_UK |
| dc.type | Thesis or dissertation | en_UK |
| dc.type.qualificationlevel | Doctoral | |
| dc.type.qualificationname | PhD |