Paper
2 February 1993 Optical data association neural net
David P. Casasent, Mark L. Yee
Author Affiliations +
Abstract
This paper presents new results of our data association (DA) neural net (NN) on measurement-to-estimate data (rather than measurement-to-measurement data). It also uses our detection unit. Our new jitter model is discussed and initial results are presented. This also includes tests of our fixed coefficient estimator and initial optical laboratory results.

We find that: the use of an estimator improves DA MN results (since no clutter is present in the estimate frame), reduction of jitter by using the detection system in tracking helps, our system handles measurement noise and jitter and clutter with no loss of track, and our fixed coefficient estimator suffices.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
David P. Casasent and Mark L. Yee "Optical data association neural net", Proc. SPIE 1773, Photonics for Computers, Neural Networks, and Memories, (2 February 1993); https://doi.org/10.1117/12.983195
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KEYWORDS
Neurons

Error analysis

Neural networks

Distance measurement

Filtering (signal processing)

Sensors

Data centers

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