What have I done on my PhD?

Produced a basic simulation of the micro-Doppler effect

Produced a basic simulation of the micro-Doppler effect

Matlab simiulation of multiple vibrating scatterers

Matlab simulation of propeller

Matlab simulation of walking person

Analysis of the Thales data

Analysis of the Thales data

Developed a procedure for reading the data into matlab

Processed the data to form the reconstructed target signal

Looked at how this may be analysed through FFT & STFT

Feature extraction from the data

Investigated how the library and testdata can beselected based on correlation distance of thesignal.

Broke the data into a number of sub framesto better emulate a radar's dwell time.

Assessed the correlation distance of theseframes.

Developed a set of libraries based on thedecorrelation distance.

More investigation of this is required baseon the idea that k-nn forced me to add extraentries to the library.

The results using these libraries should becompared with the conventional randomselection method that is often used.

Time domain processing of data

Time domain processing of data

Classification of Thales data using DTW

Implemented two version of DTW

Type 0

Type II

Allowed for unknown input

Need to implement can't declare

Explored three types of library

Monoperspective

Biperspective

Sparsely populated

Need to implement can't declare

Classification of Thales data using k-nn

Implemented a version of the k-nn algorithm

Allowed for unknown input

Explored two types of library

Monperspective

Biperspective

Analysis of classification output

Analysis of classification output

Used ROC curves to assess the unknown thresholds

Used ROC curves to assess the unknown thresholds

The performance evaluation parameters

Pcc

Pd

Pfa

Pgen

R

The crazy plots of parameter variationwith frame-duration and correlation-level

Contrasted the impact of adding extra perspectivesto the library for the classifier.

Frequency domain processing of data

Frequency domain processing of data

This is currently in progress for Thales data

Classification of Thales data usingother techniques

Classification of Thales data usingother techniques

Statistical classification/kernal estimation

Bayesian classification

Hidden Markov Model

Artificial neural network

Gathered a set of multistatic data from trials at Shenley

Gathered a set of multistatic data from trials at Shenley

Planned out the trials

Consideration of SNR/SCR

Concerns over multipath

Decision on radar parameters to use

Decison of what target to investigate

Conducted the trials

Map of the range

Gathered the data

Measured the biometric data of persontargets.

Work out how to process the data

The range-FFT plots

Cration of the reconstructed signals

Fusing of the data from all nine bistatic paths

This is still in progress

Investigated how clutter can be removed from databeing processed

Investigated how clutter can be removed from databeing processed

Used the zero Doppler removal technique fromturntable ISAR.

Used a method based on the CLEAN algorithms

Started to consider what is meant by multiperspectiveclassification in the case of the uDS.