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

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Chapter 1 / Introduction<br />

_ _<br />

generally acceptable a balance is struck between capability and cost; sensor<br />

technology, more than most, being prone to requirement creep. Recent<br />

advances in digital processing capability means that powerful algorithms<br />

can now be employed to improve sensor performance in an attempt to keep<br />

their cost under control. Table 1-3 provides an indication as to the sensor<br />

used in the various Theatres of Operation.<br />

The work on sensors presented in §3 concentrates on the system integration<br />

aspects of sensors, particularly those errors that may impact on data fusion<br />

algorithms. For contractual reasons it has become the norm to embed<br />

detailed manufacturer sensor development models in performance<br />

simulations. These models tend to be overly complicated for assessing<br />

overall system performance and often restrict such studies when time and<br />

resources are limited. The ethos here is to replace high frequency functions<br />

with approximate low frequency models retaining the characteristics that<br />

affect the performance of the state observers. Perfect measurements derived<br />

directly from the reference-state are corrupted by dominant error sources<br />

before delivery to the state observer via a digital interface, or radio link.<br />

Two status flags accompany each measurement; one indicates that a<br />

particular measurement is available, the other that it is ready for processing,<br />

i.e. it is valid and operating within the sensors operational limits. The<br />

sensor models are self-contained entities so that they are transportable, and<br />

can be cloned dependent on application. Their generic nature means they<br />

can be characterised to represent a range of similar sensors, for example,<br />

gimballed Infra-Red (IR) seekers representing FLIR and TIALD, similarly,<br />

a rotating phased array radar becomes a strapped-down device, or a steered<br />

electro-optical tracker.<br />

Table 1-3 : Sensors and Theatres of Operation<br />

SENSORS<br />

Air<br />

Launched<br />

1-7<br />

Ship<br />

Launched<br />

Ground<br />

Launched<br />

Launch Missile Launch Missile Launch Missile<br />

IMU gyroscope triad ✔ ✔ ✔ ✔ ✔<br />

IMU accelerometer triad ✔ ✔ ✔ ✔ ✔<br />

Barometric altimeter ✔<br />

Radar altimeter/DLMS ✔ ✔ ✔ ✔<br />

RF/IR seekers ✔ ✔ ✔ ✔<br />

NAVSTAR GPS ✔ ✔ ✔<br />

RF radar ✔ ✔ ✔<br />

Helmet Mounted Sight ✔<br />

Air data sensors ✔<br />

FLIR and TIALD ✔<br />

§3.1 introduces the sensor simulator, control of the individual sensor<br />

models, and their interaction with the simulation infrastructure. There are a<br />

number of errors that are commonly found in many of the sensors. These<br />

are described generically in §3.2 in the context of the simulator and a Matrix

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