Radar apparatus using neural network for azimuth and elevation detection
US5345539A · kind A · utility
Assignee
Inventor
Key dates
| Filing date | Jan 12, 1993 |
| Grant date | Sep 6, 1994 |
| Priority date | — |
| Expiry date | Jan 12, 2013 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/02
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
Radar apparatus used for point-source location, where an adaptive feed forward artificial neural network is used to calculate a position vector from image information provided by radar receiving element outputs. Where an object is sensed within a field of view of a multiple output radar, then the radar receiving sensor element outputs are processed inputs as image vectors for use in input nodes of an input node layer of the artificial neural network. Typically the neural network has the same number of input nodes as the number of sensor element outputs an array within the radar receiver. Increased accuracy of point-source location can be achieved by increasing the number of hidden layers used, and/or increasing the number of nodes within each hidden layer. Training of the artificial neural network is described for (5.times.1), (1.times.5) and (4.times.4) radar receiving arrays, and also for idealised and noisy data.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.