Translator Disclaimer
2 November 1999 Evaluating super-resolution bounds on the detection of multiple signals
Author Affiliations +
The conventional resolution of individual emitters or frequencies within a cluster is limited by the physical dimensions and electrical aspects (such as the bandwidth) of a sensor system. Super-resolution describes algorithmic techniques that potentially enhance the conventional degree of resolution. Although there has been considerable research into super-resolution techniques (since 1970), there has, in contrast, been very little that addresses the fundamental bound of resolution performance that should theoretically be achievable by a 'perfect' algorithm in ideal conditions. The purpose of this paper is to present a generic method for predicting the fundamental resolution limit. We show that the resolution of closely-spaced signal waveforms is intrinsically linked to the signal-to-noise ratios of those signals. The method can be applied to individual spatial, temporal or spectral discriminants or to multi-discriminant systems. Loss of SNR resulting from the need to separate signals is derived both for the matched filter case and for eigen decomposition.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ira J. Clarke and C. A. Speirs "Evaluating super-resolution bounds on the detection of multiple signals", Proc. SPIE 3807, Advanced Signal Processing Algorithms, Architectures, and Implementations IX, (2 November 1999);


Range limitation for seismic footstep detection
Proceedings of SPIE (April 15 2008)
Seismic footstep signal characterization
Proceedings of SPIE (September 21 2003)
Power spectrum estimation with IDMR beamforming
Proceedings of SPIE (June 01 2005)

Back to Top