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.
| Identifer | oai:union.ndltd.org:CRANFIELD1/oai:dspace.lib.cranfield.ac.uk:1826/778 |
| Date | 07 1900 |
| Creators | Moody, Leigh |
| Contributors | White, Prof B A |
| Publisher | Cranfield University; College of Defence Technology; Department of Aerospace, Power and Sensors |
| Source Sets | CRANFIELD1 |
| Language | en_UK |
| Detected Language | English |
| Type | Thesis or dissertation, Doctoral, PhD |
| Format | 1883 bytes, 3345091 bytes, text/plain, application/pdf |
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