Neural network radar processor
US6366236B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 11, 2000 |
| Grant date | Apr 2, 2002 |
| Priority date | — |
| Expiry date | Aug 11, 2020 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG01S13/931
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
A neural network radar processor (10) comprises a multilayer perceptron neural network (100.1) comprising an input layer (102), a second layer (122), and at least a third layer (124), wherein each layer has a plurality of nodes (108), and respective subsets of nodes (108) of the second (122) and third (124) layers are interconnected so as to form mutually exclusive subnetworks (120). In-phase and quadrature phase time series from a sampled down-converted FMCW radar signal (19) are applied to the input layer, and the neural network (100) is trained so that the nodes of the output layer (106) are responsive to targets in corresponding range cells, and different subnetworks (120) are responsive to respectively different non-overlapping sets of target ranges. The neural network is trained with signals that are germane to an FMCW radar, including a wide range of target scenarios as well as leakage signals, DC bias signals, and background clutter signals.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.