2020 >

DSP in Phased Array 3D Imaging

Chris Bore - Watch Now - Duration: 29:03

Phase is often the poor relation to magnitude in Fourier Transform analysis but can be the crucial measurement in some applications. Such is the case with phased array methods for imaging: in radar, security and medical imaging applications. The key to such applications is physics modelling and measurement of phase to reconstruct wave propagation and hence reconstruct 3D or 4D images of reflecting, refracting or scattering objects. This talk offers an overview of phased array imaging from the viewpoint of DSP, modelled as a 3D Fourier or Laplace Transform problem.

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Score: 0 | 4 years ago | no reply

Good and informative

Score: 0 | 4 years ago | no reply

Very nice perspective! Excellent!

Score: 0 | 4 years ago | 1 reply

Nice one.

Score: 0 | 4 years ago | no reply

Glad you enjoyed it

Score: 1 | 4 years ago | 2 replies

Hi Chris, You need come out of retirement :-) Though you obviously solved the resolution problem, would a frequency chirp instead of fixed frequencies have any benefits or issues?

Score: 0 | 4 years ago | no reply

Also, the VNA approach preserves all the data, despite the high frequencies, and so we can go back and do different reconstructions on processing on the raw data set, which you couldn't practically do with time domain because you normally reduce the data

Score: 0 | 4 years ago | no reply

Hello Brewster, nice to see you!
The chirp might allow faster data gathering but it loses the direct frequency domain data gathering: which does not suffer from Gibbs phenomenon and all that, because we actually do measure each frequency in CW.