High Discrimination Detection Bound And Model Order Control

Ira J. Clarke

doi:10.1117/12.948517

23 February 1988 High Discrimination Detection Bound And Model Order Control

Ira J. Clarke

Proceedings Volume 0975, Advanced Algorithms and Architectures for Signal Processing III; (1988) https://doi.org/10.1117/12.948517
Event: 32nd Annual International Technical Symposium on Optical and Optoelectronic Applied Science and Engineering, 1988, San Diego, CA, United States

Abstract

It is easily demonstrated by simulation that modern digital signal analysis algorithms, such as 'MUSIC' , have the potential to discriminate (detect) two spectrally similar signal components at up to about two orders of magnitude better resolution than predicted by the long established Rayleigh criterion. The basic questions addressed in the paper are: a) what 'extra information' is utilised by high discrimination algorithms b) what is the detection limit for a 'perfect' algorithm and c) can we design better high discrimination signal extraction and parameter estimation algorithms based on a deeper understanding of the underlying information handling principles? The paper concludes by proposing a stable multi-stage data decomposition procedure in which model order is controlled by directly measuring the 'effective signal to noise ratio' of possible signal components. The technique is relatively efficient, is generally applicable and has the potential to be remarkably robust.

Citation Download Citation

Ira J. Clarke "High Discrimination Detection Bound And Model Order Control", Proc. SPIE 0975, Advanced Algorithms and Architectures for Signal Processing III, (23 February 1988); https://doi.org/10.1117/12.948517

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