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Thesis - Leigh Moody.pdf - Bad Request - Cranfield University

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Chapter 11 / Future Research<br />

_ _<br />

• Implement Li’s robust IMM formulation that avoids bounding the filter<br />

transition probabilities and assess its benefits for typical target trajectories.<br />

• Investigate the IMM re-initialisation rate when using high frequency<br />

measurement to establish the time it takes for the dynamic characteristics of<br />

a particular filter to emerge.<br />

• Active set maintenance is proposed linked to generic types, reducing the<br />

computational load by using EKF incremental updates proposed by Hanlon.<br />

• Explore Bootstrap and Particle filter formulations that combine individual<br />

filter outputs whilst preserving covariance higher order moments that are<br />

crudely approximated by the IMM using a Gaussian distribution.<br />

• Establish filter probability thresholds for identify the start and end of target<br />

manoeuvres, and if possible discriminate between the type of manoeuvre.<br />

11.4 Missile State Observation<br />

• Assess if computing a covariance correction to account for non-optimal<br />

quaternion state normalisation is justified.<br />

• Quantify the destabilising effect of treating high frequency IMM track data<br />

as measurements, and at what up-link rate can the correlation be ignored.<br />

• Assess the robustness of IMM filter probabilities as manoeuvre detectors for<br />

conventional guidance enhancements and pseudo-measurement control.<br />

• Quantify the residual error levels in the missile IMU sensors after a ground<br />

calibration subject to launcher rotation and vibration.<br />

11.5 Trajectory Optimisation<br />

• Compare the trajectories produced by each element of the cost function with<br />

analytic results, and the baseline results presented in §9.<br />

• Quantify increases in target capture regions.<br />

• Investigate convergence rates for alternative algorithms.<br />

• Assess convergence rates as a function of processor load.<br />

• Assess optimiser stability as characterised noise on the boundary conditions<br />

increases.<br />

• Explore cost function combinations that prevent optimiser convergence and<br />

if such conflicts can be avoided by cost weight re-balancing, or by making<br />

the weights trajectory dependent.<br />

11.6 Weapon System Simulation<br />

Consider the future of the simulation created during this research and the<br />

AMIS spawned from it. The author hopes to develop the AMIS as a<br />

research tool that shares models with the simulators described here to create<br />

a combined pre- and post launch facility.<br />

11-4

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